AI RESEARCH
ISTASTrack: Bridging ANN and SNN via ISTA Adapter for RGB-Event Tracking
arXiv CS.CV
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ArXi:2509.09977v2 Announce Type: replace RGB-Event tracking has become a promising trend in visual object tracking to leverage the complementary strengths of both RGB images and dynamic spike events for improved performance. However, existing artificial neural networks (ANNs) struggle to fully exploit the sparse and asynchronous nature of event streams. Recent efforts toward hybrid architectures combining ANNs and spiking neural networks (SNNs) have emerged as a promising solution in RGB-Event perception, yet effectively fusing features across heterogeneous paradigms remains a challenge.