Abstract: Object detection in event streams has emerged as a cutting-edge research area, demonstrating superior performance in low-light conditions, scenarios with motion blur, and rapid movements.

DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...

Abstract: To address the separation of mineral semantic segmentation and foreign object detection in coal mine conveyor belt detection, and the inability of traditional single-task models to balance ...