Shirui Yang

Aware Distillation for Robust Vision-Language Tracking Under Linguistic Sparsity

Vision-language object tracking overcomes the limitations of relying solely on visual features by leveraging language descriptions of objects to provide cross-modal semantic information, thereby enhancing model robustness in complex scenarios. However, most existing high-performance vision-language