GitHub

SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation

We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...
IEEE

MTANet: Multi-Task Attention Network for Automatic Medical Image Segmentation and Classification

Abstract: Medical image segmentation and classification are two of the most key steps in computer-aided clinical diagnosis. The region of interest were usually segmented in a proper manner to extract ...
GitHub

Segmentation of anatomical structures in a common coordinate space

N.B. Your data will need to be registered to an anatomical atlas first. We are always happy to help users of our tools, and welcome any contributions. If you would like to get in contact with us for ...
IEEE

RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation Based on Visual Foundation Model

Leveraging the extensive training data from SA-1B, the segment anything model (SAM) demonstrates remarkable generalization and zero-shot capabilities. However, as a category-agnostic instance ...