Abstract: The remote sensing image object detection has advanced significantly; yet, small object detection remains challenging due to their limited size and varying scales. Furthermore, real-world ...
Abstract: A key issue of existing deep-learning-based object detection methods in remote sensing images is that they often struggle to differentiate the background and small object regions due to ...
checkpoint(23M, T=1, D=4):https://drive.google.com/drive/folders/1c5p09ZRCFeK1M5wH6zQduJltZalMzQkZ?usp=sharing checkpoint(69M, T=1, D=4):https://drive.google.com/file ...
Instructions on how to project 2 images on 2 different sides of many objects. Instructions to control the camera move in an orbit with a speed that varies from time to time. Timestamp 00:00 ...
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 ...
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