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cs.CV2025
SMTrack: End-to-End Trained Spiking Neural Networks for Multi-Object Tracking in RGB Videos
Pengzhi Zhong, Xinzhe Wang, Dan Zeng +3
Brain-inspired Spiking Neural Networks (SNNs) exhibit significant potential for low-power computation, yet their application in visual tasks remains largely confined to image class…
cs.CV2025★ 1 cited
Learning Occlusion-Robust Vision Transformers for Real-Time UAV Tracking
You Wu, Xucheng Wang, Xiangyang Yang +4
Single-stream architectures using Vision Transformer (ViT) backbones show great potential for real-time UAV tracking recently. However, frequent occlusions from obstacles like buil…