Abstract: Detecting small objects in remote sensing images is highly challenging, primarily due to background noise interference and the limited semantic information of small objects. Although ...
Abstract: In response to the challenges of small object detection in aerial images, such as the small size of targets, low image resolution, and high similarity between the background and targets, an ...
A hybrid deep learning framework combining YOLO object detection with Vision Transformer (ViT/CvT) classification heads for automated diabetic retinopathy (DR) grading from fundus images.
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