3 accepted papers
Object tracking in real-world scenarios is often hampered by the simultaneous challenges of low light and partial object occlusion. While existing evaluation datasets have tackled these scenarios separately-focusing either on low-light settings or amodal perception-their co-occurrence has rarely bee
Single-stream architectures using Vision Transformer (ViT) backbones show great potential for real-time UAV tracking recently. However, frequent occlusions from obstacles like buildings and trees expose a major drawback: these models often lack strategies to handle occlusions effectively. New method…
Harnessing low-light enhancement and domain adaptation, nighttime UAV tracking has made substantial strides. However, over-reliance on image enhancement, limited high-quality nighttime data, and a lack of integration between daytime and nighttime trackers hinder the development of an end-to-end trai