Preprint
Aug 2026
Zero-MELO: Test-Time Evidence Calibration with Multimodal LLMs for Zero-Shot Micro-Gesture Recognition
A novel test-time evidence calibration framework that improves both reasoning details and prediction reliability by introducing a tree search mechanism to progressively acquire localized, fine-grained visual evidence, coupled with a test-time calibration module to mitigate score biases.
Chengyan Wang, Hanliang Xie, Yueyi Yang et al.
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