AdvCAM:针对弱和半监督语义细分的反职业性归因（CVPR 2021）

[{"title":"（ 36 个子文件 2.68MB ） AdvCAM:针对弱和半监督语义细分的反职业性归因（CVPR 2021）","children":[{"title":"AdvCAM-main","children":[{"title":"step","children":[{"title":"eval_sem_seg.py <span style='color:#111;'> 1.17KB </span>","children":null,"spread":false},{"title":"make_sem_seg_labels.py <span style='color:#111;'> 3.33KB </span>","children":null,"spread":false},{"title":"make_cocoann.py <span style='color:#111;'> 1.73KB </span>","children":null,"spread":false},{"title":"cam_to_ir_label.py <span style='color:#111;'> 2.64KB </span>","children":null,"spread":false},{"title":"make_ins_seg_labels.py <span style='color:#111;'> 6.37KB </span>","children":null,"spread":false},{"title":"eval_cam.py <span style='color:#111;'> 1.45KB </span>","children":null,"spread":false},{"title":"pycococreatortools.py <span style='color:#111;'> 4.52KB </span>","children":null,"spread":false},{"title":"eval_ins_seg.py <span style='color:#111;'> 1.32KB </span>","children":null,"spread":false},{"title":"train_cam.py <span style='color:#111;'> 3.56KB </span>","children":null,"spread":false},{"title":"train_irn.py <span style='color:#111;'> 5.24KB </span>","children":null,"spread":false},{"title":"make_cam.py <span style='color:#111;'> 2.94KB </span>","children":null,"spread":false}],"spread":false},{"title":"requirements.txt <span style='color:#111;'> 149B </span>","children":null,"spread":false},{"title":"get_seed_quality.sh <span style='color:#111;'> 113B </span>","children":null,"spread":false},{"title":"gradCAM.py <span style='color:#111;'> 3.11KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"get_mask_quality.sh <span style='color:#111;'> 217B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 1.90KB </span>","children":null,"spread":false},{"title":"obtain_CAM_masking.py <span style='color:#111;'> 7.73KB </span>","children":null,"spread":false},{"title":"demo","children":[{"title":"2008_004430_noreg_c_idx_0_iter_0.jpg <span style='color:#111;'> 18.10KB </span>","children":null,"spread":false},{"title":"2008_004430_gif.gif <span style='color:#111;'> 2.07MB </span>","children":null,"spread":false},{"title":"2008_004430.jpg <span style='color:#111;'> 68.22KB </span>","children":null,"spread":false}],"spread":true},{"title":"net","children":[{"title":"resnet50_irn.py <span style='color:#111;'> 8.41KB </span>","children":null,"spread":false},{"title":"resnet50_cam.py <span style='color:#111;'> 2.16KB </span>","children":null,"spread":false},{"title":"resnet50.py <span style='color:#111;'> 3.93KB </span>","children":null,"spread":false}],"spread":true},{"title":"misc","children":[{"title":"imutils.py <span style='color:#111;'> 8.07KB </span>","children":null,"spread":false},{"title":"pyutils.py <span style='color:#111;'> 2.54KB </span>","children":null,"spread":false},{"title":"torchutils.py <span style='color:#111;'> 2.38KB </span>","children":null,"spread":false},{"title":"indexing.py <span style='color:#111;'> 5.57KB </span>","children":null,"spread":false}],"spread":true},{"title":"voc12","children":[{"title":"train_aug.txt <span style='color:#111;'> 124.01KB </span>","children":null,"spread":false},{"title":"test.txt <span style='color:#111;'> 17.06KB </span>","children":null,"spread":false},{"title":"dataloader.py <span style='color:#111;'> 9.13KB </span>","children":null,"spread":false},{"title":"make_cls_labels.py <span style='color:#111;'> 1007B </span>","children":null,"spread":false},{"title":"train.txt <span style='color:#111;'> 17.16KB </span>","children":null,"spread":false},{"title":"val.txt <span style='color:#111;'> 16.98KB </span>","children":null,"spread":false},{"title":"cls_labels.npy <span style='color:#111;'> 2.32MB </span>","children":null,"spread":false}],"spread":true},{"title":"run_sample.py <span style='color:#111;'> 6.39KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]