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Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization

Autor: Zhu, Lei, Chen, Qian, Jin, Lujia, You, Yunfei, Lu, Yanye

Classification activation map (CAM), utilizing the classification structure to generate pixel-wise localization maps, is a crucial mechanism for weakly supervised object localization (WSOL). However, CAM directly uses the classifier trained on image-

Externí odkaz: http://arxiv.org/abs/2207.07818

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Weakly Supervised Object Localization as Domain Adaption

Autor: Zhu, Lei, She, Qi, Chen, Qian, You, Yunfei, Wang, Boyu, Lu, Yanye

Weakly supervised object localization (WSOL) focuses on localizing objects only with the supervision of image-level classification masks. Most previous WSOL methods follow the classification activation map (CAM) that localizes objects based on the cl

Externí odkaz: http://arxiv.org/abs/2203.01714

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Background-aware Classification Activation Map for Weakly Supervised Object Localization

Autor: Zhu, Lei, She, Qi, Chen, Qian, Meng, Xiangxi, Geng, Mufeng, Jin, Lujia, Jiang, Zhe, Qiu, Bin, You, Yunfei, Zhang, Yibao, Ren, Qiushi, Lu, Yanye

Weakly supervised object localization (WSOL) relaxes the requirement of dense annotations for object localization by using image-level classification masks to supervise its learning process. However, current WSOL methods suffer from excessive activat

Externí odkaz: http://arxiv.org/abs/2112.14379

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