2 papers
cs.CV2026
Mixture of Enhanced-View Experts for Multi-Query Vehicle ReID and A Large-Scale Benchmark
Aihua Zheng, Jie Zhen, Chenglong Li +2
Multi-query vehicle ReID aims to leverage complementary information from diverse views for robust feature learning. However, current methods suffer from simplistic feature fusion a…
cs.CV2026
Sparse-Dense Mixture of Experts Adapter for Multi-Modal Tracking
Yabin Zhu, Jianqi Li, Chenglong Li +3
Parameter-efficient fine-tuning (PEFT) techniques, such as prompts and adapters, are widely used in multi-modal tracking because they alleviate issues of full-model fine-tuning, in…