Extracting class activation maps from non-discriminative features as well

• المؤلفون الرئيسيون: CHEN, Zhaozheng, SUN, Qianru
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2023
• الموضوعات: Graphics and Human Computer Interfaces
• الوصول للمادة أونلاين: 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

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...