C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical Image-Reference-Cited by-同舟云学术

C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical Image

Published:2022-06 Issue: Volume: Page:
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Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Chen Zhang¹,Tian Zhiqiang¹,Zhu Jihua¹,Li Ce²,Du Shaoyi¹

Affiliation:

1. Xi'an Jiaotong University,Xi'an,China

2. Lanzhou University of Technology,Xi'an,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879271.pdf?arnumber=9879271

Reference45 articles.

1. Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation

2. Visual Commonsense R-CNN

3. Grad-cam: Visual explanations from deep networks via gradient-based localization;ramprasaath;Proceedings of the IEEE International Conference on Computer Vision,0

4. Unet: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention,0

5. Learning and Incorporating Shape Models for Semantic Segmentation

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