🔥 News
- 2024.10: Our paper (first author) MetaSegNet: Metadata-Collaborative Vision-Language Representation Learning for Semantic Segmentation of Remote Sensing Images has been accepted by IEEE TGRS.
- 2024.02: Our paper (co-author) ChangeCLIP: Remote sensing change detection with multimodal vision-language representation learning has been accepted by ISPRS.
- 2023.09: Our paper UNetFormer achieved the U.V. Helava Best Paper Award of ISPRS in 2022.
- 2022.10: One paper (corresponding author) Class-Guided Swin Transformer for Semantic Segmentation of Remote Sensing Imagery has been accepted by IEEE GRSL.
- 2022.06: Our paper (first author) Building extraction with vision transformer has been accepted by IEEE TGRS.
- 2022.06: Our paper (first author) UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery has been accepted by ISPRS.
- 2022.01: 🎉🎉 Two papers was accepted:
- A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images, Libo Wang, Rui Li, Chenxi Duan, Ce Zhang, Xiaoliang Meng and Shenghui Fang
- A2-FPN for semantic segmentation of fine-resolution remotely sensed images, Rui Li, Libo Wang, Ce Zhang, Chenxi Duan and Shunyi Zheng