CVPR 2025 "model complementarity" Papers

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Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition

Zheda Mai, Ping Zhang, Cheng-Hao Tu et al.

CVPR 2025highlightarXiv:2409.16434