Abstract: Recently, test-time adaptation has attracted wide interest in the context of vision-language models for image classification. However, to the best of our knowledge, the problem is completely ...

Four Roboflow/YOLOv8 instance-segmentation models differed only by training-set composition: 100 synthetic, 100 real, 100 ...

Abstract: Medical ultrasound image segmentation is a vital diagnostic technique for identifying abnormalities, including tumors, cysts, and inflammation. To obtain accurate segmentation efficiently, ...

Abstract: Deep learning methods, especially convolutional neural networks (CNNs) and vision transformers (ViTs), are frequently employed to perform semantic segmentation of high-resolution remotely ...