If you find it helpful to your research, please cite as follows: @inproceedings{peng2022semantic, title={Semantic-Aware Domain Generalized Segmentation}, author={Peng, Duo and Lei, Yinjie and Hayat, ...

Abstract: Semantic segmentation is one of the fundamental tasks of pixel-level remote sensing image analysis. Currently, most high-performance semantic segmentation methods are trained in a supervised ...

Abstract: Light field (LF) images enable numerous applications due to their ability to capture information for multiple views. Semantic segmentation is an essential task for LF scene understanding.

Image segmentation is crucial for various Computer Vision tasks, aiding in image classification and object detection. Segmentation techniques can be categorised into semantic, instance, and panoptic ...

SOLO is a flexible framework for instance segmentation that categorises each pixel based on its location and size. Introduced by researchers from The University of Adelaide and ByteDance AI Lab, SOLO ...

1 Oceanography Department, Geoscience Institute of the Federal University of Bahia (UFBA), Salvador, Brazil. 2 Earth and Environmental Physics Department, Physics Institute of the Federal University ...

Copyright: © 2020 The Author(s). Published by Elsevier Ltd.

The official implementation of CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers (IEEE T-ITS 2023): More details can be found in our paper [PDF].