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.gitattributes CHANGED
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  # Video files - compressed
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  # Video files - compressed
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README.md ADDED
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+ # convnext-weakfix — data + kết quả + checkpoint
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+
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+ Replicate phương pháp `v5_weakfix` (hoangtuan) lên **DINOv3 ConvNeXt-Tiny** (`dinov3_next_cnn`).
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+ Cùng data / kỹ thuật / hyperparam, identity-disjoint. Doc đầy đủ tại repo gốc:
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+ `/workspace/quangmanh/deepfake/doc/convnext_weakfix/`.
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+
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+ ## Data (data/)
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+ - `train_v5_combined_universal_kaggle_boost.csv` — 54,000 ảnh (baseline).
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+ - `train_v5_weakfix.csv` — **v2**: 121,884 ảnh (31,006 real / 90,878 fake, 42 method, faceswap 4,600).
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+ - `train_v5_weakfix_v3.csv` — **v3**: 129,884 ảnh (faceswap 12,600).
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+ - `val_v5_combined_universal_kaggle_boost.csv` — 6,000 ảnh val.
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+ - `test_balanced_fixed_zero_leakage.csv` — test benchmark zero-leakage 2,354 ảnh (1:1 real/fake).
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+ - `v5_weakfix_dataset_summary.json`, `v5_weakfix_v3_dataset_summary.json` — summary, identity_overlap_added=0.
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+
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+ > CSV chỉ chứa **đường dẫn ảnh + label/method/domain/identity** (metadata), không kèm ảnh.
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+
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+ ## Kết quả (results/)
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+ Eval theo protocol bf16 (giống v5): acc **baseline 99.41% → v2 99.66% → v3 99.70%**,
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+ faceswap v3 **100% (27/27)**. Gồm eval_*.json/.npz, per_method_*.csv, faceswap_detail.csv,
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+ comparison.json, training_report.
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+
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+ ## Checkpoint (checkpoints/)
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+ - `convnext_baseline.pt` — v5-equivalent (3 epoch trên 54K).
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+ - `convnext_weakfix_v2.pt` — method-balanced sampler, init từ baseline.
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+ - `convnext_weakfix_v3.pt` — **final** (faceswap-focused, init từ v2).
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+
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+ Train: `scripts/finetune_convnext_weakfix.py --stage {baseline|v2|v3}` — Eval: `scripts/eval_convnext_weakfix.py`.
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results/comparison_methods.csv ADDED
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1
+ method,n,det_baseline,det_v3,delta_det
2
+ mcnet,27,1.0,0.9629629629629629,-0.03703703703703709
3
+ fsgan,26,0.9615384615384616,0.9615384615384616,0.0
4
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5
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6
+ DiT,41,1.0,1.0,0.0
7
+ MRAA,29,1.0,1.0,0.0
8
+ MidJourney,26,1.0,1.0,0.0
9
+ RDDM,22,1.0,1.0,0.0
10
+ StyleGAN2,25,1.0,1.0,0.0
11
+ StyleGAN3,40,1.0,1.0,0.0
12
+ StyleGANXL,40,1.0,1.0,0.0
13
+ VQGAN,24,1.0,1.0,0.0
14
+ blendface,27,1.0,1.0,0.0
15
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16
+ ddim,24,1.0,1.0,0.0
17
+ deepfacelab,1,1.0,1.0,0.0
18
+ e4e,40,1.0,1.0,0.0
19
+ e4s,15,1.0,1.0,0.0
20
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21
+ fomm,27,1.0,1.0,0.0
22
+ hyperreenact,27,1.0,1.0,0.0
23
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24
+ one_shot_free,27,1.0,1.0,0.0
25
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26
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27
+ simswap,27,1.0,1.0,0.0
28
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29
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30
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31
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32
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33
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34
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35
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+ heygen,1,0.0,1.0,1.0
results/convnext_weakfix_v2_per_method_accuracy.csv ADDED
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1
+ Method,Label,Samples,Accuracy,Mean Fake Probability
2
+ faceswap,FAKE,27,85.19,0.8381
3
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+ one_shot_free,FAKE,27,100.0,0.9774
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+ whichfaceisreal,FAKE,30,100.0,0.9737
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+ faceswap,27.0,1.0,0.0,0.9643831606264468
20
+ facevid2vid,27.0,1.0,0.0,0.9762009580930074
21
+ fomm,27.0,1.0,0.0,0.974312115598608
22
+ fsgan,26.0,0.9615384615384616,1.0,0.9315904765748061
23
+ heygen,1.0,1.0,0.0,0.9732407331466675
24
+ hyperreenact,27.0,1.0,0.0,0.9749614706745854
25
+ inswap,19.0,1.0,0.0,0.9692852434359098
26
+ lia,27.0,0.9629629629629629,1.0,0.9372634357876248
27
+ mcnet,27.0,0.9629629629629629,1.0,0.9451292289627923
28
+ mobileswap,56.0,1.0,0.0,0.9745127782225609
29
+ one_shot_free,27.0,1.0,0.0,0.9741253830768444
30
+ pirender,27.0,1.0,0.0,0.9736418944818003
31
+ pixart,37.0,1.0,0.0,0.9725228628596744
32
+ sadtalker,26.0,0.9230769230769231,2.0,0.9008405849051017
33
+ sd2.1,64.0,1.0,0.0,0.9658405082300305
34
+ simswap,27.0,1.0,0.0,0.9750172606220951
35
+ stargan,40.0,1.0,0.0,0.9715914234519005
36
+ starganv2,40.0,1.0,0.0,0.971372140944004
37
+ styleclip,40.0,1.0,0.0,0.9739824295043945
38
+ tpsm,27.0,1.0,0.0,0.9712173210250007
39
+ uniface,27.0,1.0,0.0,0.974742227130466
40
+ wav2lip,22.0,1.0,0.0,0.9706807353279807
41
+ whichfaceisreal,30.0,1.0,0.0,0.9750115911165873