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20172023
most citedSelf-supervised Training of Graph Convolutional Networks

27 citations · 133 across the 19 of their papers we have counts for

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20 papers · 1 filter

cs.CV2023

SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing images

Haonan Guo, Xin Su, Chen Wu +2

Change detection (CD) is a fundamental and important task for monitoring the land surface dynamics in the earth observation field. Existing deep learning-based CD methods typically…

cs.CV20231 cited

DeepCL: Deep Change Feature Learning on Remote Sensing Images in the Metric Space

Haonan Guo, Bo Du, Chen Wu +2

Change detection (CD) is an important yet challenging task in the Earth observation field for monitoring Earth surface dynamics. The advent of deep learning techniques has recently…

cs.CV2023

Expediting Building Footprint Extraction from High-resolution Remote Sensing Images via progressive lenient supervision

Haonan Guo, Bo Du, Chen Wu +2

The efficacy of building footprint segmentation from remotely sensed images has been hindered by model transfer effectiveness. Many existing building segmentation methods were deve…

cs.CV20221 cited

Fully Convolutional Change Detection Framework with Generative Adversarial Network for Unsupervised, Weakly Supervised and Regional Supervised Change Detection

Chen Wu, Bo Du, Liangpei Zhang

Deep learning for change detection is one of the current hot topics in the field of remote sensing. However, most end-to-end networks are proposed for supervised change detection,…

cs.CV20203 cited

Recurrent Feature Reasoning for Image Inpainting

Jingyuan Li, Ning Wang, Lefei Zhang +2

Existing inpainting methods have achieved promising performance for recovering regular or small image defects. However, filling in large continuous holes remains difficult due to t…

cs.CV202019 cited

DSDANet: Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection

Hongruixuan Chen, Chen Wu, Bo Du +1

Change detection (CD) is one of the most vital applications in remote sensing. Recently, deep learning has achieved promising performance in the CD task. However, the deep models a…