IEEE

A Class-Aware Semi-Supervised Framework for Semantic Segmentation of High-Resolution Remote Sensing Imagery

Abstract: Advancements in deep learning have significantly improved the semantic segmentation of high-resolution remote sensing imagery (HRSI). However, these approaches typically rely on large-scale, ...
GitHub

Revisiting Efficient Semantic Segmentation: Learning Offsets for Better Spatial and Class Feature Alignment (ICCV 2025)

This repository contains the official Pytorch implementation of training & evaluation code and the trained models for Offset Learning & OffSeg. Offset Learning —— An efficient plug-and-play semantic ...
IEEE

Weakly-Supervised Semantic Segmentation Based on Multi-Strategy Collaboration

Abstract: Fully-supervised semantic segmentation has advanced notably with deep learning, yet its dependence on large amounts of precisely pixel-level annotated data brings high costs, hampering wide ...
Frontiers

Automated segmentation and classification of lumbar transverse ultrasound views using a two-stage deep learning method

Ultrasound guidance is widely used in lumbar regional anesthesia and chronic pain management because it provides radiation-free, portable, and real-time visualization. Among lumbar ultrasound views, ...