Cross-Modal UAV Object Tracking: State-Aware Representation Learning and A Unified Benchmark
A novel State-Aware Representation Learning Approach called SARLA is proposed, which perceives the inconsistent modality states of current frame with template and last frame in the target representations to adapt to the sudden changes in both appearance and position, for robust cross-modal object tracking.