Reference implementation: https://github.com/Intellindust-AI-Lab/DEIMv2

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 adaptable for a wide range of scenarios. Across these variants, DEIMv2 achieves state-of-the-art performance, with the S-sized model notably surpassing 50 AP on the challenging COCO benchmark.