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cs.CV2025
ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning
Enhao Zhang, Chaohua Li, Chuanxing Geng +1
Based on the success of large-scale visual foundation models like CLIP in various downstream tasks, this paper initially attempts to explore their impact on Long-Tailed Semi-Superv…
cs.CV2025
Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey
Chaohua Li, Enhao Zhang, Chuanxing Geng +1
Out-of-distribution detection (OOD) is a pivotal task for real-world applications that trains models to identify samples that are distributionally different from the in-distributio…
cs.CV2024
All Beings Are Equal in Open Set Recognition
Chaohua Li, Enhao Zhang, Chuanxing Geng +1
In open-set recognition (OSR), a promising strategy is exploiting pseudo-unknown data outside given known classes as an additional +-th class to explicitly model potentia…