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SMDL-Attribution

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  1. README.md +6 -0
  2. keras_model/cub-efficientnetv2m.h5 +3 -0
  3. keras_model/cub-mobilenetv2.h5 +3 -0
  4. keras_model/cub-resnet101-new.h5 +3 -0
  5. keras_model/cub-resnet101.h5 +3 -0
  6. keras_model/cub-vgg19.h5 +3 -0
  7. keras_model/keras-ArcFace-R100-Celeb-A.h5 +3 -0
  8. keras_model/keras-ArcFace-R100-VGGFace2.h5 +3 -0
  9. pytorch_model/ArcFace-CelebA-R50-10177.pth +3 -0
  10. pytorch_model/ArcFace-VGGFace2-R50-8631.pth +3 -0
  11. pytorch_model/AttributeNet-VGGFace2.pkl +3 -0
  12. pytorch_model/BranchedTiny.ckpt +3 -0
  13. pytorch_model/FaceParser.ckpt +3 -0
  14. pytorch_model/cub-crop-resnet101-edl.pth +3 -0
  15. pytorch_model/cub-resnet101-edl.pth +3 -0
  16. pytorch_model/edl-101-10177.pth +3 -0
  17. pytorch_model/edl-101-8631.pth +3 -0
  18. pytorch_model/sam_vit_b_01ec64.pth +3 -0
  19. pytorch_model/sam_vit_h_4b8939.pth +3 -0
  20. pytorch_model/sam_vit_l_0b3195.pth +3 -0
README.md CHANGED
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  ---
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  license: mit
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  ---
 
 
 
 
 
 
 
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  ---
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  license: mit
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  ---
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+
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+ 【ICLR 2024 Oral 🔥】Less is More: Fewer Interpretable Region via Submodular Subset Selection
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+
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+ This repo contains the model ckeckpoints.
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+
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+ Code: [https://github.com/RuoyuChen10/SMDL-Attribution/](https://github.com/RuoyuChen10/SMDL-Attribution/)
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