6 citations · 8 across the 5 of their papers we have counts for
5 papers
Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation
Yitao Zhao, Sen Lei, Nanqing Liu +3
As an essential procedure in earth observation system, change detection (CD) aims to reveal the spatial-temporal evolution of the observation regions. A key prerequisite for existi…
SAM-Based Building Change Detection with Distribution-Aware Fourier Adaptation and Edge-Constrained Warping
Yun-Cheng Li, Sen Lei, Yi-Tao Zhao +3
Building change detection remains challenging for urban development, disaster assessment, and military reconnaissance. While foundation models like Segment Anything Model (SAM) sho…
SSLChange: A Self-supervised Change Detection Framework Based on Domain Adaptation
Yitao Zhao, Turgay Celik, Nanqing Liu +2
In conventional remote sensing change detection (RS CD) procedures, extensive manual labeling for bi-temporal images is first required to maintain the performance of subsequent ful…
Toward distortion-aware change detection in realistic scenarios
Yitao Zhao, Heng-Chao Li, Nanqing Liu +1
In the conventional change detection (CD) pipeline, two manually registered and labeled remote sensing datasets serve as the input of the model for training and prediction. However…
Semi-Supervised Object Detection with Uncurated Unlabeled Data for Remote Sensing Images
Nanqing Liu, Xun Xu, Yingjie Gao +1
Annotating remote sensing images (RSIs) presents a notable challenge due to its labor-intensive nature. Semi-supervised object detection (SSOD) methods tackle this issue by generat…