**Apologies for cross-posting**
OpenEarthMap Land Cover Mapping Few-Shot Challenge
Call for Participation:The challenge aims to evaluate and benchmark learning methods for few-shot semantic segmentation on the OpenEarthMap dataset to promote research in AI for social good.
The motivation is to enable researchers to develop few-shot learning algorithms for high-resolution RS image semantic segmentation, which is a fundamental problem in various applications of RS image understanding, such as disaster response, urban planning, and natural resource management.
The challenge is part of the
3rd Workshop on Learning with Limited Labelled Data for Image and Video Understanding (L3D-IVU) in conjunction with the CVPR 2024 Conference.
We look forward to your participation!