24 citations · 43 across the 9 of their papers we have counts for
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cs.CV2025
LIFT+: Lightweight Fine-Tuning for Long-Tail Learning
Jiang-Xin Shi, Tong Wei, Yu-Feng Li
The fine-tuning paradigm has emerged as a prominent approach for addressing long-tail learning tasks in the era of foundation models. However, the impact of fine-tuning strategies…
cs.CV2024
Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model
Jiang-Xin Shi, Chi Zhang, Tong Wei +1
Pre-trained vision-language models like CLIP have shown powerful zero-shot inference ability via image-text matching and prove to be strong few-shot learners in various downstream…
cs.CV2023★ 8 cited
How Re-sampling Helps for Long-Tail Learning?
Jiang-Xin Shi, Tong Wei, Yuke Xiang +1
Long-tail learning has received significant attention in recent years due to the challenge it poses with extremely imbalanced datasets. In these datasets, only a few classes (known…