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20202025
most citedNovel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation

37 citations · 105 across the 20 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.DL2022★ 1 cited

One Venue, Two Conferences: The Separation of Chinese and American Citation Networks

Bingchen Zhao, Yuling Gu, Jessica Zosa Forde +1

At NeurIPS, American and Chinese institutions cite papers from each other's regions substantially less than they cite endogamously. We build a citation graph to quantify this divid…

cs.CV2022★ 4 cited

Parametric Classification for Generalized Category Discovery: A Baseline Study

Xin Wen, Bingchen Zhao, Xiaojuan Qi

Generalized Category Discovery (GCD) aims to discover novel categories in unlabelled datasets using knowledge learned from labelled samples. Previous studies argued that parametric…

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…

cs.CV2022★ 25 cited

Self-Supervised Visual Representation Learning with Semantic Grouping

Xin Wen, Bingchen Zhao, Anlin Zheng +2

In this paper, we tackle the problem of learning visual representations from unlabeled scene-centric data. Existing works have demonstrated the potential of utilizing the underlyin…

cs.CV2022

Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective

Quan Cui, Bingchen Zhao, Zhao-Min Chen +5

This work simultaneously considers the discriminability and transferability properties of deep representations in the typical supervised learning task, i.e., image classification.…