IEEE

MultiSenseSeg: A Cost-Effective Unified Multimodal Semantic Segmentation Model for Remote Sensing

Abstract: Semantic segmentation is an essential technique in remote sensing. Until recently, most related research has focused primarily on advancing semantic segmentation models based on monomodal ...
GitHub

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

This repository is the code implementation of the paper RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model, which is based on the MMDetection ...
GitHub

A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection

Training on video (w/o flow) . We load the weight pre-trained on the static image dataset, and use DAVIS and FBMS to train our framework. python finetune.py --model ...
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 ...