cam multiplied by GT label?

YudeWang / SEAM

Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)

MIT License

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cam multiplied by GT label? #27

Closed periakiva closed 3 years ago

periakiva commented 3 years ago

Both during training and inference the cam output is multiplied by the ground truth label.

training:

Line 123: cam_rv1 = F.interpolate(visualization.max_norm(cam_rv1),scale_factor=scale_factor,mode='bilinear',align_corners=True)*label
Line 129: cam_rv2 = visualization.max_norm(cam_rv2)*label

inference: Line 63: cam = cam.cpu().numpy() * label.clone().view(20, 1, 1).numpy()

Is that done in error? How can we assume that labels are available during inference?

YudeWang commented 3 years ago

Hi @periakiva , Duplicate with issue #16 and I will close this. Feel free to reopen if any more question.