most citedHunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation

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cs.CV2024★ 1 cited

Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation

Feilong Tang, Zhongxing Xu, Zhaojun Qu +3

Recent weakly supervised semantic segmentation (WSSS) methods strive to incorporate contextual knowledge to improve the completeness of class activation maps (CAM). In this work, w…