IEEE

Learn From Past to Future: Exploiting Self-Training and Curriculum Learning in Remote Sensing Class-Incremental Semantic Segmentation

Abstract: Class-incremental semantic segmentation focuses on updating the segmentation model with only new-class samples. Catastrophic forgetting and background shift are the two prevalent challenges.
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

MSSEAG-UNet: A Novel Deep Learning Architecture for Cloud Segmentation in Fisheye Sky Images and Solar Energy Forecast

Abstract: This study analyzes sky images captured using a ground-based fisheye camera, aiming to address the challenge of accurately segmenting clouds, which is difficult due to their fuzzy and ...