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arXiv Computer Vision By Pengzhi Zhong, Jiwei Mo, Dan Zeng, Feixiang He, Shuiwang Li

STATrack: A Target-Aware Fully Spiking Neural Network for Efficient UAV Tracking

Read the original on arXiv Computer Vision →

STATrack is a fully spiking neural network designed for UAV visual tracking using only RGB inputs, eliminating the need for costly event cameras. It introduces Adaptive Mutual Information Maximization (AMIM) to preserve fine-grained target information in deep spiking representations and a sample-difficulty-aware dynamic weighting strategy to adjust the mutual‑information constraint during training. Experiments on four UAV tracking benchmarks show that STATrack achieves state‑of‑the‑art performance while maintaining low theoretical energy consumption.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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