27 citations · 28 across the 3 of their papers we have counts for
3 papers
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…
cs.CV2024
SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation
Xinqiao Zhao, Feilong Tang, Xiaoyang Wang +1
Image-level weakly supervised semantic segmentation has received increasing attention due to its low annotation cost. Existing methods mainly rely on Class Activation Mapping (CAM)…
cs.IR2023★ 27 cited
Modeling Multi-aspect Preferences and Intents for Multi-behavioral Sequential Recommendation
Haobing Liu, Jianyu Ding, Yanmin Zhu +4
Multi-behavioral sequential recommendation has recently attracted increasing attention. However, existing methods suffer from two major limitations. Firstly, user preferences and i…