IEEE

Semantic Segmentation of Remote Sensing Images With Inconsistent Resolutions via a Spectral-Geometric Iterative Fusion Network

Abstract: The fusion of optical, hyperspectral, and synthetic aperture radar (SAR) images is essential for semantic segmentation in remote sensing, enabling more comprehensive land cover ...
IEEE

Dual-Domain Masked Representation Learning for Semantic Segmentation of Remote Sensing Images

Abstract: Self-supervised learning (SSL) has emerged as a promising paradigm for remote sensing semantic segmentation, enabling the exploitation of large-scale unlabeled data to learn meaningful ...
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 ...
GitHub

Symdex-100

Semantic fingerprints for intent-based Python code search — 50–100x faster index lookups, 10–50x fewer tokens for AI agents. Symdex-100 generates compact, structured metadata ("Cyphers") for every ...