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cs.CV2025★ 1 cited
LeCoT: revisiting network architecture for two-view correspondence pruning
Luanyuan Dai, Xiaoyu Du, Jinhui Tang
Two-view correspondence pruning aims to accurately remove incorrect correspondences (outliers) from initial ones and is widely applied to various computer vision tasks. Current pop…
cs.CV2025
TEST-V: TEst-time Support-set Tuning for Zero-shot Video Classification
Rui Yan, Jin Wang, Hongyu Qu +4
Recently, adapting Vision Language Models (VLMs) to zero-shot visual classification by tuning class embedding with a few prompts (Test-time Prompt Tuning, TPT) or replacing class n…