no code implementations • 22 Feb 2023 • Bowen Zhao, Chen Chen, Qian-Wei Wang, Anfeng He, Shu-Tao Xia
For challenge B, we point out that the gradient contribution statistics can be a reliable indicator to inspect whether the optimization is dominated by bias-aligned samples.
1 code implementation • 25 Nov 2021 • Bowen Zhao, Chen Chen, Qian-Wei Wang, Anfeng He, Shu-Tao Xia
For challenge B, we point out that the gradient contribution statistics can be a reliable indicator to inspect whether the optimization is dominated by bias-aligned samples.
1 code implementation • 28 Nov 2019 • Xu Shen, Xinmei Tian, Anfeng He, Shaoyan Sun, DaCheng Tao
In this paper, we propose randomly transforming (rotation, scale, and translation) feature maps of CNNs during the training stage.
no code implementations • 5 Sep 2018 • Anfeng He, Chong Luo, Xinmei Tian, Wen-Jun Zeng
Recently, Siamese network based trackers have received tremendous interest for their fast tracking speed and high performance.
Ranked #9 on Visual Object Tracking on VOT2017/18
1 code implementation • CVPR 2018 • Anfeng He, Chong Luo, Xinmei Tian, Wen-Jun Zeng
SA-Siam is composed of a semantic branch and an appearance branch.
Ranked #1 on Visual Object Tracking on OTB-50