activity
20202026
most citedLearning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation

93 citations · 215 across the 13 of their papers we have counts for

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Showing 2025Show all

2 papers · 1 filter

cs.CV2025

BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors

Yu Wang, Junxian Mu, Hongzhi Huang +3

Open set recognition (OSR) requires models to classify known samples while detecting unknown samples for real-world applications. Existing studies show impressive progress using un…

cs.LG2025

Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds

Huitong Chen, Yu Wang, Yan Fan +2

Class incremental learning (CIL) aims to enable models to continuously learn new classes without catastrophically forgetting old ones. A promising direction is to learn and use pro…