The official implementation for "Learn from Segment Anything Model: Local Region Homogenizing for Cross-domain Remote Sensing Image Segmentation".
regda's Introduction
Hi there ๐
๐ญ Iโm currently pursuing PhD at Hunan University.
๐ฑ Iโm interested in Unsupervised Domain Adaptation, Semantic Segmentation, and Image Fusion.
๐ซ Please feel free to attach me if you have any questions: [email protected]
Publications
Wang Liu, et, al. Uncertain Example Mining Network for Domain Adaptive Segmentation of Remote Sensing Images, TGRS, 2024 (code)
Wang Liu, et, al. Learn from Segment Anything Model: Local Region Homogenizing for Cross-domain Remote Sensing Image Segmentation, IGARSS, 2024 (code)
Wang Liu, et, al. Agriculture-Vision Challenge 2024--The Runner-Up Solution for Agricultural Pattern Recognition via Class Balancing and Model Ensemble, Arxiv, 2024 (paper)
Wang Liu, et, al. SOSNet: Real-Time Small Object Segmentation via Hierarchical Decoding and Example Mining, TNNLS, 2023. (paper, code)
Zhuojun Xie, Puhong Duan, Wang Liu, et, al, Feature consistency-based prototype network for open-set hyperspectral image classification. TNNLS, 2023. (paper)
Awards
2nd place in the 5th CVPR Agriculture Vision Challenge, 2024.
1st place in the CVPR SyntaGen Challenge, 2024.
1st place in the ISPRS Contest on Intelligent Interpretation for Multi-modal Remote Sensing Application, 2024.
Best paper award in Pattern Recognition, Machine Vision, and Intelligent Algorithms (PRMVIA), 2024.