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pro vyhledávání: '"Kim, Shinjeong"'
This work addresses the challenge of sub-pixel accuracy in detecting 2D local features, a cornerstone problem in computer vision. Despite the advancements brought by neural network-based methods like SuperPoint and ALIKED, these modern approaches lag
Externí odkaz:
http://arxiv.org/abs/2407.11668
Autor:
Yoon, Sung-Hoon, Kweon, Hyeokjun, Jeong, Jaeseok, Kim, Hyeonseong, Kim, Shinjeong, Yoon, Kuk-Jin
Existing studies in weakly supervised semantic segmentation (WSSS) have utilized class activation maps (CAMs) to localize the class objects. However, since a classification loss is insufficient for providing precise object regions, CAMs tend to be bi
Externí odkaz:
http://arxiv.org/abs/2112.05351