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

Remote Sensing Semantic Segmentation Quality Assessment Based on Vision Language Model

Abstract: Variations in scene complexity and image quality across remote sensing images lead to inconsistent performance when applying pretrained semantic segmentation models. To ensure quality ...
IEEE

Soft-Guided Open-Vocabulary Semantic Segmentation of Remote Sensing Images

Abstract: Open-vocabulary remote sensing (RS) semantic segmentation strives to assign both seen and unseen class labels to individual pixels in RS images. Existing models follow the “fine-tune” ...
techannouncer

How to Use a Python Visualizer to Debug and Understand Your Code Effectively

Sometimes, reading Python code just isn’t enough to see what’s really going on. You can stare at lines for hours and still miss how variables change, or why a bug keeps popping up. That’s where a ...
GitHub

Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images

Semantic segmentation of remote sensing images is pivotal for comprehensive Earth observation, but the demand for interpreting new object categories, coupled with the high expense of manual annotation ...