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cs.CV2023
Edge Wasserstein Distance Loss for Oriented Object Detection
Yuke Zhu, Yumeng Ruan, Zihua Xiong +1
Regression loss design is an essential topic for oriented object detection. Due to the periodicity of the angle and the ambiguity of width and height definition, traditional L1-dis…
cs.CV2022
Cross-Architecture Self-supervised Video Representation Learning
Sheng Guo, Zihua Xiong, Yujie Zhong +4
In this paper, we present a new cross-architecture contrastive learning (CACL) framework for self-supervised video representation learning. CACL consists of a 3D CNN and a video tr…