Evaluation of Semi-supervised Semantic Segmentation for Remote Sensing, Medical Imaging, and Machine Vision Settings

Semi-supervised semantic segmentation (S<sup>4</sup>) has garnered significant attention in recent years due to the time-consuming and costly process of creating pixel-level annotations. Instead of only relying on labeled data, semi-supervised approaches leverage both labeled and unlabel...

Full description

Saved in:
Bibliographic Details
Main Authors: S. Landgraf, J. Huber, M. Hillemann, M. Ulrich
Format: Article
Language:English
Published: Copernicus Publications 2025-07-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://isprs-annals.copernicus.org/articles/X-G-2025/527/2025/isprs-annals-X-G-2025-527-2025.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!