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He Li

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EmoICL: Enhancing Visual Emotion Recognition with Emotion-Aware In-Context Learning.

Visual emotion recognition aims to infer human emotional states from visual cues. Adapting pretrained Vision-Language Models (VLMs) to this task remains challenging. In-Context Learning (ICL) enables a frozen model to condition its predictions on a few labeled demonstrations without task-specific fine-tuning. Here, dem...

Xi-Yang Li, Qu Yang, Yuwendong Yin et al. · 0 citations
2025

DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning

Federated Learning (FL) has demonstrated a promising future in privacy-friendly collaboration but it faces the data heterogeneity problem. Knowledge Distillation (KD) can serve as an effective method to address this issue. However, challenges arise from the unreliability of existing distillation methods in multi-domain...

Yue Yuan, Wenke Huang, Frank Wan et al. · 1 citation

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