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[2026-01-26] We are happy to announce that DGFusion was accepted in the IEEE Robotics and Automation Letters. We provide weights for DGFusion trained on MUSES and DeLiVER datasets. With the flag MODEL ...
Abstract: Small object detection (SOD) constitutes a notable yet immensely arduous task, stemming from the restricted informative regions inherent in size-limited instances, which further sparks off ...
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: With the emergence of various large-scale deep-learning models, in remote sensing images, the object detection effect is also plagued by complex calculations, high costs, and high ...
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