22 citations · 38 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 8 cited
MixSiam: A Mixture-based Approach to Self-supervised Representation Learning
Xiaoyang Guo, Tianhao Zhao, Yutian Lin +1
Recently contrastive learning has shown significant progress in learning visual representations from unlabeled data. The core idea is training the backbone to be invariant to diffe…
cs.CV2020★ 8 cited
Re-identification = Retrieval + Verification: Back to Essence and Forward with a New Metric
Zheng Wang, Xin Yuan, Toshihiko Yamasaki +3
Re-identification (re-ID) is currently investigated as a closed-world image retrieval task, and evaluated by retrieval based metrics. The algorithms return ranking lists to users,…
cs.CV2020★ 22 cited
Unsupervised Person Re-identification via Softened Similarity Learning
Yutian Lin, Lingxi Xie, Yu Wu +2
Person re-identification (re-ID) is an important topic in computer vision. This paper studies the unsupervised setting of re-ID, which does not require any labeled information and…