Most recent semantic segmentation methods adopt a fully-convolutional network (FCN) with an encoder-decoder architecture. The encoder progressively reduces the spatial resolution and learns more ...

Compared with natural image segmentation, small sample image segmentation tasks, such as medical image segmentation and defect detection, have been less studied. Recent studies made efforts on ...

DEIM is an advanced training framework designed to enhance the matching mechanism in DETRs, enabling faster convergence and improved accuracy. It serves as a robust foundation for future research and ...