MetaSegNet: Metadata-collaborative Vision-Language Representation Learning for Semantic Segmentation of Remote Sensing Images

no code implementations • 20 Dec 2023 • Libo Wang, Sijun Dong, Ying Chen, Xiaoliang Meng, Shenghui Fang, Ayman Habib, Songlin Fei

Semantic segmentation of remote sensing images plays a vital role in a wide range of Earth Observation (EO) applications, such as land use land cover mapping, environment monitoring, and sustainable development.

Earth Observation Representation Learning +2

DeepTree: Modeling Trees with Situated Latents

no code implementations • 9 May 2023 • Xiaochen Zhou, Bosheng Li, Bedrich Benes, Songlin Fei, Sören Pirk

We use a neural network pipeline to train a situated latent space that allows us to locally predict branch growth only based on a single node in the branch graph of a tree model.