SegObjectMaterial fusion heads

Trained heads that classify an object's material from frozen vision + language embeddings. Each folder holds one head with its weights, training config, held-out split, evaluation metrics and model card.

head dataset encoders fusion mIoU mAcc
DMS/dinov2_clip_gated DMS DINOv2-CLIP Gated Multimodal Unit 0.4543 0.6373
DMS/dinov2_clip_mlp DMS DINOv2-CLIP Concat + MLP 0.4744 0.6672
DMS/dinov3_siglip2_gated DMS DINOv3-SigLIP2 Gated Multimodal Unit 0.4630 0.6386
DMS/dinov3_siglip2_gated_reg DMS DINOv3-SigLIP2 Gated Multimodal Unit 0.4606 0.6403
DMS/dinov3_siglip2_lmf DMS DINOv3-SigLIP2 Low-rank Multimodal Fusion 0.4407 0.6181
DMS/dinov3_siglip2_lmf_reg DMS DINOv3-SigLIP2 Low-rank Multimodal Fusion 0.4453 0.6135
DMS/dinov3_siglip2_mlp DMS DINOv3-SigLIP2 Concat + MLP 0.4592 0.6453
FMD/dinov2_clip_gated FMD DINOv2-CLIP Gated Multimodal Unit 0.9234 0.9599
FMD/dinov2_clip_mlp FMD DINOv2-CLIP Concat + MLP 0.9612 0.9802
FMD/dinov3_siglip2_gated FMD DINOv3-SigLIP2 Gated Multimodal Unit 0.9707 0.9850
FMD/dinov3_siglip2_lmf FMD DINOv3-SigLIP2 Low-rank Multimodal Fusion 0.9805 0.9900
FMD/dinov3_siglip2_mlp FMD DINOv3-SigLIP2 Concat + MLP 0.9519 0.9747

Every row is a single training run; see each folder's README for caveats.

Downloads last month

-

Downloads are not tracked for this model. How to track
Video Preview
loading