Abstract: Accurate semantic segmentation of high-resolution remote sensing imagery is essential for applications ranging from urban planning to environmental monitoring. However, this task remains ...
Abstract: Semantic segmentation of remote sensing imagery plays an important role in applications such as environmental monitoring and disaster response. However, challenges such as complex spatial ...
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 ...
Task: Classify every pixel of a synthetic desert offroad image into one of 10 semantic classes: Background, Trees, Lush Bushes, Dry Grass, Dry Bushes, Ground Clutter, Logs, Rocks, Landscape, and Sky.
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