1.2k citations · 1.2k across the 5 of their papers we have counts for
5 papers
Implicit Ray-Transformers for Multi-view Remote Sensing Image Segmentation
Zipeng Qi, Hao Chen, Chenyang Liu +2
The mainstream CNN-based remote sensing (RS) image semantic segmentation approaches typically rely on massive labeled training data. Such a paradigm struggles with the problem of R…
Semantic-aware Dense Representation Learning for Remote Sensing Image Change Detection
Hao Chen, Wenyuan Li, Song Chen +1
Supervised deep learning models depend on massive labeled data. Unfortunately, it is time-consuming and labor-intensive to collect and annotate bitemporal samples containing desire…
Semantic decoupled representation learning for remote sensing image change detection
Hao Chen, Yifan Zao, Liqin Liu +2
Contemporary transfer learning-based methods to alleviate the data insufficiency in change detection (CD) are mainly based on ImageNet pre-training. Self-supervised learning (SSL)…
Geographical Knowledge-driven Representation Learning for Remote Sensing Images
Wenyuan Li, Keyan Chen, Hao Chen +1
The proliferation of remote sensing satellites has resulted in a massive amount of remote sensing images. However, due to human and material resource constraints, the vast majority…
Remote Sensing Image Change Detection with Transformers
Hao Chen, Zipeng Qi, Zhenwei Shi
Modern change detection (CD) has achieved remarkable success by the powerful discriminative ability of deep convolutions. However, high-resolution remote sensing CD remains challen…