11 citations · 12 across the 8 of their papers we have counts for
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cs.LG2024
Analytic Continual Test-Time Adaptation for Multi-Modality Corruption
Yufei Zhang, Yicheng Xu, Hongxin Wei +4
Test-Time Adaptation (TTA) enables pre-trained models to bridge the gap between source and target datasets using unlabeled test data, addressing domain shifts caused by corruptions…
cs.CV2024
FACT: Feature Adaptive Continual-learning Tracker for Multiple Object Tracking
Rongzihan Song, Zhenyu Weng, Huiping Zhuang +3
Multiple object tracking (MOT) involves identifying multiple targets and assigning them corresponding IDs within a video sequence, where occlusions are often encountered. Recent me…
cs.LG2024
DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning
Huiping Zhuang, Run He, Kai Tong +3
Class-incremental learning (CIL) under an exemplar-free constraint has presented a significant challenge. Existing methods adhering to this constraint are prone to catastrophic for…