Release all completed test checkpoints

README.md

@@ -179,83 +179,83 @@ Every dataset below is a real YAML file under `configs/datasets/`. The harness e
 
 ## Results and released checkpoints
 
-Only completed `metrics_test.json` evaluations are eligible. Rankings are computed per dataset by test-set F1 (descending), and only the rank-1 checkpoint for each dataset is released. Validation-only, incomplete, and checkpoint-only runs are excluded.
+Only completed `metrics_test.json` evaluations are eligible. Rankings are computed per dataset by test-set F1 (descending), and the canonical `best_model.pth` checkpoint for every ranked model is released. Validation-only, incomplete, and checkpoint-only runs are excluded.
 
 All accuracy values are fractions. GPU memory is the PyTorch peak reserved memory for inference, with peak allocated memory used only when reserved memory is absent. FPS is model-only throughput. A dash means the evaluator did not record that metric; values are never estimated.
 
 The current evaluator records BF1 but not boundary mean IoU (BmIoU), so BmIoU remains explicitly unavailable rather than being inferred from BF1. Boundary IoU and boundary F1 are distinct measures.
 
-### Released checkpoint summary
+### Dataset summary
 
-| Dataset | Selected model | Test F1 | Download | Size |
-| --- | --- | --- | --- | --- |
-| DSIFN-CD | BIT-CD | 0.6732 | [best_model.pth](https://huggingface.co/dineth18/CD-Models/resolve/main/results/bit_cd/dsifn_cd/checkpoints/best_model.pth?download=true) | 60.8 MiB |
-| LEVIR-CD+ (test-as-val protocol) | CGNet | 0.8138 | [best_model.pth](https://huggingface.co/dineth18/CD-Models/resolve/main/results/cgnet/levir_cd_test_as_val/checkpoints/best_model.pth?download=true) | 405.9 MiB |
-| SYSU-CD | ChangeMamba | 0.8216 | [best_model.pth](https://huggingface.co/dineth18/CD-Models/resolve/main/results/changemamba/sysu_cd/checkpoints/best_model.pth?download=true) | 619.3 MiB |
-| WHU-CD | ChangeMamba | 0.9521 | [best_model.pth](https://huggingface.co/dineth18/CD-Models/resolve/main/results/changemamba/whu_cd/checkpoints/best_model.pth?download=true) | 619.0 MiB |
+| Dataset | Tested models | F1 leader | Best test F1 |
+| --- | --- | --- | --- |
+| DSIFN-CD | 14 | BIT-CD | 0.6732 |
+| LEVIR-CD+ (test-as-val protocol) | 13 | CGNet | 0.8138 |
+| SYSU-CD | 8 | ChangeMamba | 0.8216 |
+| WHU-CD | 8 | ChangeMamba | 0.9521 |
 
 ### DSIFN-CD
 
 | Rank | Model | F1 | mIoU | Overall accuracy | Recall | Precision | BF1 | BmIoU | GFLOPs | GPU (GB) | FPS | Parameters (M) | Checkpoint |
 | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
 | 1 | BIT-CD | 0.6732 | 0.6929 | 0.8919 | 0.6552 | 0.6923 | 0.2819 | — | 10.63 | 2.24 | 127.76 | 12.40 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/bit_cd/dsifn_cd/checkpoints/best_model.pth?download=true) |
-| 2 | SChanger | 0.6629 | 0.6835 | 0.8857 | 0.6612 | 0.6647 | 0.2847 | — | — | 2.45 | 24.05 | — | — |
-| 3 | ChangeMamba | 0.6435 | 0.6729 | 0.8849 | 0.6113 | 0.6792 | 0.1903 | — | 28.70 | 1.93 | 15.42 | 54.00 | — |
-| 4 | CGNet | 0.6204 | 0.6290 | 0.8343 | 0.7970 | 0.5079 | 0.2903 | — | 82.23 | 6.52 | 65.39 | 38.99 | — |
-| 5 | FC-EF | 0.6078 | 0.6400 | 0.8604 | 0.6365 | 0.5816 | 0.1955 | — | 3.58 | 0.74 | 204.13 | 1.35 | — |
-| 6 | ChangeFormer | 0.5964 | 0.6152 | 0.8299 | 0.7397 | 0.4996 | 0.2422 | — | 21.18 | 4.07 | 49.74 | 29.75 | — |
-| 7 | BiFA | 0.5876 | 0.6111 | 0.8296 | 0.7142 | 0.4991 | 0.2692 | — | 53.00 | 15.10 | 13.81 | 9.87 | — |
-| 8 | Siam-NestedUNet | 0.5839 | 0.6024 | 0.8188 | 0.7482 | 0.4788 | 0.2374 | — | 54.83 | 7.34 | 29.18 | 12.03 | — |
-| 9 | FC-Siam-diff | 0.5829 | 0.6277 | 0.8593 | 0.5784 | 0.5875 | 0.1691 | — | 4.73 | 1.06 | 113.98 | 1.35 | — |
-| 10 | STANet | 0.5483 | 0.6258 | 0.8829 | 0.4184 | 0.7953 | 0.1613 | — | 13.16 | 14.11 | 133.96 | 16.93 | — |
-| 11 | FC-Siam-conc | 0.5479 | 0.5665 | 0.7873 | 0.7583 | 0.4288 | 0.1811 | — | 5.33 | 1.02 | 127.67 | 1.55 | — |
-| 12 | DSAMNet | 0.5467 | 0.5757 | 0.8020 | 0.7027 | 0.4474 | 0.2374 | — | 75.39 | 2.91 | 166.43 | 16.95 | — |
-| 13 | HANet | 0.5347 | 0.5817 | 0.8193 | 0.6109 | 0.4754 | 0.2418 | — | 17.67 | 11.36 | 42.36 | 3.03 | — |
-| 14 | IFNet | 0.4579 | 0.5102 | 0.7524 | 0.6153 | 0.3647 | 0.1325 | — | 82.26 | 6.08 | 104.88 | 50.71 | — |
+| 2 | SChanger | 0.6629 | 0.6835 | 0.8857 | 0.6612 | 0.6647 | 0.2847 | — | — | 2.45 | 24.05 | — | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/schanger/dsifn_cd/checkpoints/best_model.pth?download=true) |
+| 3 | ChangeMamba | 0.6435 | 0.6729 | 0.8849 | 0.6113 | 0.6792 | 0.1903 | — | 28.70 | 1.93 | 15.42 | 54.00 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/changemamba/dsifn_cd/checkpoints/best_model.pth?download=true) |
+| 4 | CGNet | 0.6204 | 0.6290 | 0.8343 | 0.7970 | 0.5079 | 0.2903 | — | 82.23 | 6.52 | 65.39 | 38.99 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/cgnet/dsifn_cd/checkpoints/best_model.pth?download=true) |
+| 5 | FC-EF | 0.6078 | 0.6400 | 0.8604 | 0.6365 | 0.5816 | 0.1955 | — | 3.58 | 0.74 | 204.13 | 1.35 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/fc_ef/dsifn_cd/checkpoints/best_model.pth?download=true) |
+| 6 | ChangeFormer | 0.5964 | 0.6152 | 0.8299 | 0.7397 | 0.4996 | 0.2422 | — | 21.18 | 4.07 | 49.74 | 29.75 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/changeformer/dsifn_cd/checkpoints/best_model.pth?download=true) |
+| 7 | BiFA | 0.5876 | 0.6111 | 0.8296 | 0.7142 | 0.4991 | 0.2692 | — | 53.00 | 15.10 | 13.81 | 9.87 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/bifa/dsifn_cd/checkpoints/best_model.pth?download=true) |
+| 8 | Siam-NestedUNet | 0.5839 | 0.6024 | 0.8188 | 0.7482 | 0.4788 | 0.2374 | — | 54.83 | 7.34 | 29.18 | 12.03 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/siam_nestedunet/dsifn_cd/checkpoints/best_model.pth?download=true) |
+| 9 | FC-Siam-diff | 0.5829 | 0.6277 | 0.8593 | 0.5784 | 0.5875 | 0.1691 | — | 4.73 | 1.06 | 113.98 | 1.35 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/fc_siam_diff/dsifn_cd/checkpoints/best_model.pth?download=true) |
+| 10 | STANet | 0.5483 | 0.6258 | 0.8829 | 0.4184 | 0.7953 | 0.1613 | — | 13.16 | 14.11 | 133.96 | 16.93 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/stanet/dsifn_cd/checkpoints/best_model.pth?download=true) |
+| 11 | FC-Siam-conc | 0.5479 | 0.5665 | 0.7873 | 0.7583 | 0.4288 | 0.1811 | — | 5.33 | 1.02 | 127.67 | 1.55 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/fc_siam_conc/dsifn_cd/checkpoints/best_model.pth?download=true) |
+| 12 | DSAMNet | 0.5467 | 0.5757 | 0.8020 | 0.7027 | 0.4474 | 0.2374 | — | 75.39 | 2.91 | 166.43 | 16.95 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/dsamnet/dsifn_cd/checkpoints/best_model.pth?download=true) |
+| 13 | HANet | 0.5347 | 0.5817 | 0.8193 | 0.6109 | 0.4754 | 0.2418 | — | 17.67 | 11.36 | 42.36 | 3.03 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/hanet/dsifn_cd/checkpoints/best_model.pth?download=true) |
+| 14 | IFNet | 0.4579 | 0.5102 | 0.7524 | 0.6153 | 0.3647 | 0.1325 | — | 82.26 | 6.08 | 104.88 | 50.71 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/ifnet/dsifn_cd/checkpoints/best_model.pth?download=true) |
 
 ### LEVIR-CD+ (test-as-val protocol)
 
 | Rank | Model | F1 | mIoU | Overall accuracy | Recall | Precision | BF1 | BmIoU | GFLOPs | GPU (GB) | FPS | Parameters (M) | Checkpoint |
 | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
 | 1 | CGNet | 0.8138 | 0.8356 | 0.9856 | 0.7746 | 0.8572 | 0.7651 | — | 82.23 | 6.01 | 44.01 | 38.99 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/cgnet/levir_cd_test_as_val/checkpoints/best_model.pth?download=true) |
-| 2 | Siam-NestedUNet | 0.8046 | 0.8282 | 0.9839 | 0.8129 | 0.7965 | 0.7386 | — | — | 2.67 | 108.71 | — | — |
-| 3 | SChanger | 0.8007 | 0.8253 | 0.9836 | 0.8112 | 0.7906 | 0.7364 | — | — | 2.45 | 48.96 | — | — |
-| 4 | BIT-CD | 0.7996 | 0.8247 | 0.9838 | 0.7946 | 0.8047 | 0.7143 | — | 10.63 | 2.27 | 236.60 | 12.40 | — |
-| 5 | HANet | 0.7841 | 0.8131 | 0.9819 | 0.8064 | 0.7630 | 0.7043 | — | — | 5.04 | 84.44 | — | — |
-| 6 | BiFA | 0.7772 | 0.8084 | 0.9818 | 0.7785 | 0.7760 | 0.6581 | — | 53.00 | 15.14 | 30.38 | 9.87 | — |
-| 7 | FC-Siam-conc | 0.7650 | 0.7999 | 0.9809 | 0.7623 | 0.7678 | 0.7175 | — | 5.33 | 1.02 | 308.81 | 1.55 | — |
-| 8 | STANet | 0.7544 | 0.7921 | 0.9791 | 0.7865 | 0.7249 | 0.6388 | — | — | 4.45 | 174.00 | — | — |
-| 9 | ChangeFormer | 0.7488 | 0.7887 | 0.9795 | 0.7505 | 0.7472 | 0.6525 | — | 21.18 | 4.03 | 157.64 | 29.75 | — |
-| 10 | DSAMNet | 0.7444 | 0.7850 | 0.9779 | 0.7897 | 0.7040 | 0.5370 | — | 75.39 | 2.90 | 37.84 | 16.95 | — |
-| 11 | IFNet | 0.7410 | 0.7833 | 0.9786 | 0.7510 | 0.7313 | 0.3489 | — | 82.26 | 6.08 | 105.44 | 50.71 | — |
-| 12 | FC-EF | 0.7319 | 0.7766 | 0.9768 | 0.7785 | 0.6905 | 0.6497 | — | 3.58 | 0.74 | 457.44 | 1.35 | — |
-| 13 | FC-Siam-diff | 0.7196 | 0.7667 | 0.9725 | 0.8650 | 0.6160 | 0.5447 | — | 4.73 | 1.06 | 262.80 | 1.35 | — |
+| 2 | Siam-NestedUNet | 0.8046 | 0.8282 | 0.9839 | 0.8129 | 0.7965 | 0.7386 | — | — | 2.67 | 108.71 | — | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/siam_nestedunet/levir_cd_test_as_val/checkpoints/best_model.pth?download=true) |
+| 3 | SChanger | 0.8007 | 0.8253 | 0.9836 | 0.8112 | 0.7906 | 0.7364 | — | — | 2.45 | 48.96 | — | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/schanger/levir_cd_test_as_val/checkpoints/best_model.pth?download=true) |
+| 4 | BIT-CD | 0.7996 | 0.8247 | 0.9838 | 0.7946 | 0.8047 | 0.7143 | — | 10.63 | 2.27 | 236.60 | 12.40 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/bit_cd/levir_cd_test_as_val/checkpoints/best_model.pth?download=true) |
+| 5 | HANet | 0.7841 | 0.8131 | 0.9819 | 0.8064 | 0.7630 | 0.7043 | — | — | 5.04 | 84.44 | — | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/hanet/levir_cd_test_as_val/checkpoints/best_model.pth?download=true) |
+| 6 | BiFA | 0.7772 | 0.8084 | 0.9818 | 0.7785 | 0.7760 | 0.6581 | — | 53.00 | 15.14 | 30.38 | 9.87 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/bifa/levir_cd_test_as_val/checkpoints/best_model.pth?download=true) |
+| 7 | FC-Siam-conc | 0.7650 | 0.7999 | 0.9809 | 0.7623 | 0.7678 | 0.7175 | — | 5.33 | 1.02 | 308.81 | 1.55 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/fc_siam_conc/levir_cd_test_as_val/checkpoints/best_model.pth?download=true) |
+| 8 | STANet | 0.7544 | 0.7921 | 0.9791 | 0.7865 | 0.7249 | 0.6388 | — | — | 4.45 | 174.00 | — | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/stanet/levir_cd_test_as_val/checkpoints/best_model.pth?download=true) |
+| 9 | ChangeFormer | 0.7488 | 0.7887 | 0.9795 | 0.7505 | 0.7472 | 0.6525 | — | 21.18 | 4.03 | 157.64 | 29.75 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/changeformer/levir_cd_test_as_val/checkpoints/best_model.pth?download=true) |
+| 10 | DSAMNet | 0.7444 | 0.7850 | 0.9779 | 0.7897 | 0.7040 | 0.5370 | — | 75.39 | 2.90 | 37.84 | 16.95 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/dsamnet/levir_cd_test_as_val/checkpoints/best_model.pth?download=true) |
+| 11 | IFNet | 0.7410 | 0.7833 | 0.9786 | 0.7510 | 0.7313 | 0.3489 | — | 82.26 | 6.08 | 105.44 | 50.71 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/ifnet/levir_cd_test_as_val/checkpoints/best_model.pth?download=true) |
+| 12 | FC-EF | 0.7319 | 0.7766 | 0.9768 | 0.7785 | 0.6905 | 0.6497 | — | 3.58 | 0.74 | 457.44 | 1.35 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/fc_ef/levir_cd_test_as_val/checkpoints/best_model.pth?download=true) |
+| 13 | FC-Siam-diff | 0.7196 | 0.7667 | 0.9725 | 0.8650 | 0.6160 | 0.5447 | — | 4.73 | 1.06 | 262.80 | 1.35 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/fc_siam_diff/levir_cd_test_as_val/checkpoints/best_model.pth?download=true) |
 
 ### SYSU-CD
 
 | Rank | Model | F1 | mIoU | Overall accuracy | Recall | Precision | BF1 | BmIoU | GFLOPs | GPU (GB) | FPS | Parameters (M) | Checkpoint |
 | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
 | 1 | ChangeMamba | 0.8216 | 0.8006 | 0.9214 | 0.7677 | 0.8836 | 0.3197 | — | 28.70 | 1.93 | 77.65 | 54.00 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/changemamba/sysu_cd/checkpoints/best_model.pth?download=true) |
-| 2 | FC-Siam-conc | 0.7778 | 0.7558 | 0.8975 | 0.7609 | 0.7955 | 0.1939 | — | 5.33 | 1.02 | 356.94 | 1.55 | — |
-| 3 | STANet | 0.7728 | 0.7482 | 0.8913 | 0.7841 | 0.7619 | 0.1962 | — | — | 4.45 | 176.02 | — | — |
-| 4 | FC-EF | 0.7710 | 0.7489 | 0.8936 | 0.7596 | 0.7828 | 0.1857 | — | 3.58 | 0.73 | 553.75 | 1.35 | — |
-| 5 | ChangeFormer | 0.7635 | 0.7382 | 0.8851 | 0.7863 | 0.7420 | 0.1591 | — | 21.18 | 4.03 | 143.73 | 29.75 | — |
-| 6 | FC-Siam-diff | 0.7630 | 0.7457 | 0.8956 | 0.7129 | 0.8208 | 0.1853 | — | 4.73 | 1.08 | 552.90 | 1.35 | — |
-| 7 | BIT-CD | 0.7618 | 0.7395 | 0.8881 | 0.7584 | 0.7652 | 0.1780 | — | 10.63 | 2.24 | 111.11 | 12.40 | — |
-| 8 | IFNet | 0.7145 | 0.7020 | 0.8724 | 0.6772 | 0.7562 | 0.1158 | — | — | 3.29 | 109.80 | — | — |
+| 2 | FC-Siam-conc | 0.7778 | 0.7558 | 0.8975 | 0.7609 | 0.7955 | 0.1939 | — | 5.33 | 1.02 | 356.94 | 1.55 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/fc_siam_conc/sysu_cd/checkpoints/best_model.pth?download=true) |
+| 3 | STANet | 0.7728 | 0.7482 | 0.8913 | 0.7841 | 0.7619 | 0.1962 | — | — | 4.45 | 176.02 | — | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/stanet/sysu_cd/checkpoints/best_model.pth?download=true) |
+| 4 | FC-EF | 0.7710 | 0.7489 | 0.8936 | 0.7596 | 0.7828 | 0.1857 | — | 3.58 | 0.73 | 553.75 | 1.35 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/fc_ef/sysu_cd/checkpoints/best_model.pth?download=true) |
+| 5 | ChangeFormer | 0.7635 | 0.7382 | 0.8851 | 0.7863 | 0.7420 | 0.1591 | — | 21.18 | 4.03 | 143.73 | 29.75 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/changeformer/sysu_cd/checkpoints/best_model.pth?download=true) |
+| 6 | FC-Siam-diff | 0.7630 | 0.7457 | 0.8956 | 0.7129 | 0.8208 | 0.1853 | — | 4.73 | 1.08 | 552.90 | 1.35 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/fc_siam_diff/sysu_cd/checkpoints/best_model.pth?download=true) |
+| 7 | BIT-CD | 0.7618 | 0.7395 | 0.8881 | 0.7584 | 0.7652 | 0.1780 | — | 10.63 | 2.24 | 111.11 | 12.40 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/bit_cd/sysu_cd/checkpoints/best_model.pth?download=true) |
+| 8 | IFNet | 0.7145 | 0.7020 | 0.8724 | 0.6772 | 0.7562 | 0.1158 | — | — | 3.29 | 109.80 | — | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/ifnet/sysu_cd/checkpoints/best_model.pth?download=true) |
 
 ### WHU-CD
 
 | Rank | Model | F1 | mIoU | Overall accuracy | Recall | Precision | BF1 | BmIoU | GFLOPs | GPU (GB) | FPS | Parameters (M) | Checkpoint |
 | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
 | 1 | ChangeMamba | 0.9521 | 0.9519 | 0.9954 | 0.9401 | 0.9644 | 0.8605 | — | 28.70 | 1.93 | 75.28 | 54.00 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/changemamba/whu_cd/checkpoints/best_model.pth?download=true) |
-| 2 | CGNet | 0.9331 | 0.9340 | 0.9936 | 0.9299 | 0.9364 | 0.8138 | — | 82.23 | 5.62 | 129.54 | 38.99 | — |
-| 3 | BIT-CD | 0.8940 | 0.8989 | 0.9899 | 0.8845 | 0.9037 | 0.6879 | — | 10.63 | 2.24 | 46.28 | 12.40 | — |
-| 4 | DSAMNet | 0.8905 | 0.8956 | 0.9891 | 0.9167 | 0.8657 | 0.5855 | — | 75.39 | 2.90 | 116.58 | 16.95 | — |
-| 5 | IFNet | 0.8389 | 0.8534 | 0.9849 | 0.8147 | 0.8644 | 0.3245 | — | 82.26 | 6.08 | 104.98 | 50.71 | — |
-| 6 | FC-EF | 0.8385 | 0.8531 | 0.9850 | 0.8067 | 0.8729 | 0.5818 | — | 3.58 | 0.74 | 498.55 | 1.35 | — |
-| 7 | FC-Siam-conc | 0.7789 | 0.8062 | 0.9756 | 0.8907 | 0.6920 | 0.4733 | — | 5.33 | 1.03 | 397.86 | 1.55 | — |
-| 8 | FC-Siam-diff | 0.7135 | 0.7580 | 0.9631 | 0.9540 | 0.5699 | 0.2148 | — | 4.73 | 1.09 | 567.87 | 1.35 | — |
+| 2 | CGNet | 0.9331 | 0.9340 | 0.9936 | 0.9299 | 0.9364 | 0.8138 | — | 82.23 | 5.62 | 129.54 | 38.99 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/cgnet/whu_cd/checkpoints/best_model.pth?download=true) |
+| 3 | BIT-CD | 0.8940 | 0.8989 | 0.9899 | 0.8845 | 0.9037 | 0.6879 | — | 10.63 | 2.24 | 46.28 | 12.40 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/bit_cd/whu_cd/checkpoints/best_model.pth?download=true) |
+| 4 | DSAMNet | 0.8905 | 0.8956 | 0.9891 | 0.9167 | 0.8657 | 0.5855 | — | 75.39 | 2.90 | 116.58 | 16.95 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/dsamnet/whu_cd/checkpoints/best_model.pth?download=true) |
+| 5 | IFNet | 0.8389 | 0.8534 | 0.9849 | 0.8147 | 0.8644 | 0.3245 | — | 82.26 | 6.08 | 104.98 | 50.71 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/ifnet/whu_cd/checkpoints/best_model.pth?download=true) |
+| 6 | FC-EF | 0.8385 | 0.8531 | 0.9850 | 0.8067 | 0.8729 | 0.5818 | — | 3.58 | 0.74 | 498.55 | 1.35 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/fc_ef/whu_cd/checkpoints/best_model.pth?download=true) |
+| 7 | FC-Siam-conc | 0.7789 | 0.8062 | 0.9756 | 0.8907 | 0.6920 | 0.4733 | — | 5.33 | 1.03 | 397.86 | 1.55 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/fc_siam_conc/whu_cd/checkpoints/best_model.pth?download=true) |
+| 8 | FC-Siam-diff | 0.7135 | 0.7580 | 0.9631 | 0.9540 | 0.5699 | 0.2148 | — | 4.73 | 1.09 | 567.87 | 1.35 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/fc_siam_diff/whu_cd/checkpoints/best_model.pth?download=true) |
 
 ### Datasets without a released checkpoint
 
@@ -800,7 +800,7 @@ python utils/weight_downloader.py --list
 
 ### Trained checkpoints
 
-The released rank-1 test checkpoints and direct download links are listed in [Results and released checkpoints](#results-and-released-checkpoints). Local training still writes checkpoints under `results/{model}/{dataset}/checkpoints/`.
+All completed test-run checkpoints and direct download links are listed in [Results and released checkpoints](#results-and-released-checkpoints). Local training still writes checkpoints under `results/{model}/{dataset}/checkpoints/`.
 
 ## Repository Structure
 

results/bifa/dsifn_cd/checkpoints/best_model.pth

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+size 84561542

results/bifa/levir_cd_test_as_val/checkpoints/best_model.pth

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+size 84564806

results/bit_cd/levir_cd_test_as_val/checkpoints/best_model.pth

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+size 63780064

results/bit_cd/sysu_cd/checkpoints/best_model.pth

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+size 63780064

results/bit_cd/whu_cd/checkpoints/best_model.pth

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+size 63780064

results/cgnet/dsifn_cd/checkpoints/best_model.pth

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+size 425600242

results/cgnet/whu_cd/checkpoints/best_model.pth

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+size 425600242

results/changeformer/dsifn_cd/checkpoints/best_model.pth

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+size 357355596

results/changeformer/levir_cd_test_as_val/checkpoints/best_model.pth

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results/changeformer/sysu_cd/checkpoints/best_model.pth

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results/changemamba/dsifn_cd/checkpoints/best_model.pth

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+size 648967138

results/dsamnet/dsifn_cd/checkpoints/best_model.pth

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+size 203616560

results/dsamnet/levir_cd_test_as_val/checkpoints/best_model.pth

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+size 203616560

results/dsamnet/whu_cd/checkpoints/best_model.pth

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results/fc_ef/dsifn_cd/checkpoints/best_model.pth

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results/fc_ef/levir_cd_test_as_val/checkpoints/best_model.pth

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results/fc_ef/sysu_cd/checkpoints/best_model.pth

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results/fc_ef/whu_cd/checkpoints/best_model.pth

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results/fc_siam_conc/dsifn_cd/checkpoints/best_model.pth

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results/fc_siam_conc/levir_cd_test_as_val/checkpoints/best_model.pth

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results/fc_siam_conc/sysu_cd/checkpoints/best_model.pth

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results/fc_siam_conc/whu_cd/checkpoints/best_model.pth

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results/fc_siam_diff/dsifn_cd/checkpoints/best_model.pth

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results/fc_siam_diff/levir_cd_test_as_val/checkpoints/best_model.pth

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results/fc_siam_diff/sysu_cd/checkpoints/best_model.pth

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results/fc_siam_diff/whu_cd/checkpoints/best_model.pth

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results/hanet/dsifn_cd/checkpoints/best_model.pth

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results/hanet/levir_cd_test_as_val/checkpoints/best_model.pth

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results/ifnet/dsifn_cd/checkpoints/best_model.pth

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results/ifnet/levir_cd_test_as_val/checkpoints/best_model.pth

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results/ifnet/sysu_cd/checkpoints/best_model.pth

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results/ifnet/whu_cd/checkpoints/best_model.pth

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results/schanger/dsifn_cd/checkpoints/best_model.pth

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results/schanger/levir_cd_test_as_val/checkpoints/best_model.pth

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results/siam_nestedunet/dsifn_cd/checkpoints/best_model.pth

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results/siam_nestedunet/levir_cd_test_as_val/checkpoints/best_model.pth

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results/stanet/dsifn_cd/checkpoints/best_model.pth

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results/stanet/levir_cd_test_as_val/checkpoints/best_model.pth

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results/stanet/sysu_cd/checkpoints/best_model.pth

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+size 203392350

tools/generate_hf_model_card.py

@@ -109,17 +109,17 @@ def markdown_table(headers: list[str], rows: list[list[str]]) -> list[str]:
 
 def build_results() -> tuple[str, list[Path]]:
     grouped = load_rows()
-    winners: list[Path] = []
+    checkpoints: list[Path] = []
     lines = [
         "## Results and released checkpoints",
         "",
-        "Only completed `metrics_test.json` evaluations are eligible. Rankings are computed per dataset by test-set F1 (descending), and only the rank-1 checkpoint for each dataset is released. Validation-only, incomplete, and checkpoint-only runs are excluded.",
+        "Only completed `metrics_test.json` evaluations are eligible. Rankings are computed per dataset by test-set F1 (descending), and the canonical `best_model.pth` checkpoint for every ranked model is released. Validation-only, incomplete, and checkpoint-only runs are excluded.",
         "",
         "All accuracy values are fractions. GPU memory is the PyTorch peak reserved memory for inference, with peak allocated memory used only when reserved memory is absent. FPS is model-only throughput. A dash means the evaluator did not record that metric; values are never estimated.",
         "",
         "The current evaluator records BF1 but not boundary mean IoU (BmIoU), so BmIoU remains explicitly unavailable rather than being inferred from BF1. Boundary IoU and boundary F1 are distinct measures.",
         "",
-        "### Released checkpoint summary",
+        "### Dataset summary",
         "",
     ]
     summary_rows: list[list[str]] = []
@@ -128,20 +128,15 @@ def build_results() -> tuple[str, list[Path]]:
         if not rows:
             continue
         winner = rows[0]
-        checkpoint = checkpoint_path(winner)
-        if not checkpoint.is_file():
-            raise FileNotFoundError(f"Winning checkpoint is missing: {checkpoint}")
-        winners.append(checkpoint)
         summary_rows.append(
             [
                 DATASET_LABELS[dataset],
+                str(len(rows)),
                 MODEL_LABELS.get(winner["_model"], winner["_model"]),
                 fmt(winner["f1"]),
-                f"[{repo_relative(checkpoint).name}]({download_url(checkpoint)})",
-                f"{checkpoint.stat().st_size / (1024 ** 2):.1f} MiB",
             ]
         )
-    lines.extend(markdown_table(["Dataset", "Selected model", "Test F1", "Download", "Size"], summary_rows))
+    lines.extend(markdown_table(["Dataset", "Tested models", "F1 leader", "Best test F1"], summary_rows))
 
     headers = [
         "Rank",
@@ -164,10 +159,13 @@ def build_results() -> tuple[str, list[Path]]:
         lines.extend(["", f"### {DATASET_LABELS[dataset]}", ""])
         table_rows: list[list[str]] = []
         for rank, row in enumerate(rows, start=1):
-            link = "—"
-            if rank == 1:
-                checkpoint = checkpoint_path(row)
-                link = f"[Download]({download_url(checkpoint)})"
+            checkpoint = checkpoint_path(row)
+            if not checkpoint.is_file():
+                raise FileNotFoundError(
+                    f"Tested checkpoint is missing for {row['_model']}/{dataset}: {checkpoint}"
+                )
+            checkpoints.append(checkpoint)
+            link = f"[Download]({download_url(checkpoint)})"
             table_rows.append(
                 [
                     str(rank),
@@ -200,7 +198,7 @@ def build_results() -> tuple[str, list[Path]]:
             "",
         ]
     )
-    return "\n".join(lines), winners
+    return "\n".join(lines), checkpoints
 
 
 def update_readme(results_markdown: str) -> None:
@@ -215,12 +213,13 @@ def update_readme(results_markdown: str) -> None:
     text = text[:start] + results_markdown + "\n\n" + text[end:]
     old = (
         "### Trained checkpoints\n\n"
-        "Trained benchmark checkpoints are not released in the root README. "
-        "The sweep writes local checkpoints under `results/{model}/{dataset}/checkpoints/`."
+        "The released rank-1 test checkpoints and direct download links are listed in "
+        "[Results and released checkpoints](#results-and-released-checkpoints). Local training still "
+        "writes checkpoints under `results/{model}/{dataset}/checkpoints/`."
     )
     new = (
         "### Trained checkpoints\n\n"
-        "The released rank-1 test checkpoints and direct download links are listed in "
+        "All completed test-run checkpoints and direct download links are listed in "
         "[Results and released checkpoints](#results-and-released-checkpoints). Local training still "
         "writes checkpoints under `results/{model}/{dataset}/checkpoints/`."
     )
@@ -235,14 +234,14 @@ def main() -> None:
     parser = argparse.ArgumentParser()
     parser.add_argument("--write", action="store_true", help="Replace the README result sections")
     args = parser.parse_args()
-    markdown, winners = build_results()
+    markdown, checkpoints = build_results()
     if args.write:
         update_readme(markdown)
     else:
         print(markdown)
-    print("Winning checkpoints:")
-    for winner in winners:
-        print(repo_relative(winner))
+    print("Released tested checkpoints:")
+    for checkpoint in checkpoints:
+        print(repo_relative(checkpoint))
 
 
 if __name__ == "__main__":