Due to the continuous development of few-shot learning, there have been notable advancements in methods for few-shot object detection in recent years. However, most existing methods in this domain ...

python machine-learning computer-vision deep-learning satellite tiling merge pytorch remote-sensing coco object-detection instance-segmentation explainable-ai large-image oriented-object-detection ...

In the field of computer vision, remote sensing image object detection plays an important role. Although the object detection algorithm has made significant progress, there are still problems in ...

[CVPR2025] Fractal Calibration for long-tailed object detection Abstract: Real-world datasets follow an imbalanced distribution, which poses significant challenges in rare-category object detection.