AI RESEARCH
Benchmarking Recurrent Event-Based Object Detection for Industrial Multi-Class Recognition on MTEvent
arXiv CS.CV
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ArXi:2603.21787v1 Announce Type: new Event cameras are attractive for industrial robotics because they provide high temporal resolution, high dynamic range, and reduced motion blur. However, most event-based object detection studies focus on outdoor driving scenarios or limited class settings. In this work, we benchmark recurrent ReYOLOv8s on MTEvent for industrial multi-class recognition and use a non-recurrent YOLOv8s variant as a baseline to analyze the effect of temporal memory.