3 papers
cs.RO2023
Improving Drumming Robot Via Attention Transformer Network
Yang Yi, Zonghan Li
Robotic technology has been widely used in nowadays society, which has made great progress in various fields such as agriculture, manufacturing and entertainment. In this paper, we…
cs.CV2023
Dual-Augmented Transformer Network for Weakly Supervised Semantic Segmentation
Jingliang Deng, Zonghan Li
Weakly supervised semantic segmentation (WSSS), a fundamental computer vision task, which aims to segment out the object within only class-level labels. The traditional methods ado…
cs.CV2023
COMNet: Co-Occurrent Matching for Weakly Supervised Semantic Segmentation
Yukun Su, Jingliang Deng, Zonghan Li
Image-level weakly supervised semantic segmentation is a challenging task that has been deeply studied in recent years. Most of the common solutions exploit class activation map (C…