Extracting class activation maps from non-discriminative features as well
Extracting class activation maps (CAM) from a classification model often results in poor coverage on foreground objects, i.e., only the discriminative region (e.g., the “head” of “sheep”) is recognized and the rest (e.g., the “leg” of “sheep”) mistakenly as background. The crux behind is that the we...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2023
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/8056 https://ink.library.smu.edu.sg/context/sis_research/article/9059/viewcontent/Chen_Extracting_Class_Activation_Maps_From_Non_Discriminative_Features_As_Well_CVPR_2023_paper.pdf |
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| Institution: | Singapore Management University |
| Language: | English |