IEEE

A Lightweight Semantic Segmentation Network Based on Self-Attention Mechanism and State Space Model for Efficient Urban Scene Segmentation

Abstract: In the semantic segmentation of remote sensing images, methods based on convolutional neural networks (CNNs) and Transformers have been extensively studied. Nevertheless, CNN struggles to ...

An error was detected on device during a paging operation

If you see the "Event ID 51, An error was detected on device during a paging operation" warning in Event Viewer, this article ...
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 ...
GitHub

UniverSeg: Universal Medical Image Segmentation

Given a new segmentation task (e.g. new biomedical domain, new image type, new region of interest, etc), most existing strategies involve training or fine-tuning a segmentation model that takes an ...
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 ...