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: Although great progress has been made in Camouflaged Object Detection (COD), it still faces challenges in complex real-world scenes. Existing methods are primarily designed for visible ...
Abstract: Although existing camouflaged object detection (COD) approaches have developed various strategies to improve performance, there remains plenty of room for further improvement. The primary ...
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