3 citations · 4 across the 3 of their papers we have counts for
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cs.CV2025
Diversity Covariance-Aware Prompt Learning for Vision-Language Models
Songlin Dong, Zhengdong Zhou, Chenhao Ding +3
Prompt tuning can further enhance the performance of visual-language models across various downstream tasks (e.g., few-shot learning), enabling them to better adapt to specific app…
cs.CV2023★ 3 cited
Generalized Face Forgery Detection via Adaptive Learning for Pre-trained Vision Transformer
Anwei Luo, Rizhao Cai, Chenqi Kong +4
With the rapid progress of generative models, the current challenge in face forgery detection is how to effectively detect realistic manipulated faces from different unseen domains…
cs.CV2022★ 1 cited
Adversarial Pairwise Reverse Attention for Camera Performance Imbalance in Person Re-identification: New Dataset and Metrics
Eugene P. W. Ang, Shan Lin, Rahul Ahuja +2
Existing evaluation metrics for Person Re-Identification (Person ReID) models focus on system-wide performance. However, our studies reveal weaknesses due to the uneven data distri…