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cs.CV2022
SIM2E: Benchmarking the Group Equivariant Capability of Correspondence Matching Algorithms
Shuai Su, Zhongkai Zhao, Yixin Fei +3
Correspondence matching is a fundamental problem in computer vision and robotics applications. Solving correspondence matching problems using neural networks has been on the rise r…
cs.CV2022★ 3 cited
XCon: Learning with Experts for Fine-grained Category Discovery
Yixin Fei, Zhongkai Zhao, Siwei Yang +1
We address the problem of generalized category discovery (GCD) in this paper, i.e. clustering the unlabeled images leveraging the information from a set of seen classes, where the…