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20172023
most citedUnsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images

317 citations · 1.2k across the 45 of their papers we have counts for

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Showing 2020Show all

9 papers · 1 filter

cs.LG2020

Leveraged Matrix Completion with Noise

Xinjian Huang, Weiwei Liu, Bo Du +1

Completing low-rank matrices from subsampled measurements has received much attention in the past decade. Existing works indicate that datums are require…

eess.IV2020★ 1 cited

Hyperspectral Anomaly Change Detection Based on Auto-encoder

Meiqi Hu, Chen Wu, Liangpei Zhang +1

With the hyperspectral imaging technology, hyperspectral data provides abundant spectral information and plays a more important role in geological survey, vegetation analysis and m…

cs.CV2020★ 4 cited

Semantic Change Detection with Asymmetric Siamese Networks

Kunping Yang, Gui-Song Xia, Zicheng Liu +4

Given two multi-temporal aerial images, semantic change detection aims to locate the land-cover variations and identify their change types with pixel-wise boundaries. This problem…

cs.CV2020★ 3 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.CV2020★ 19 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…

cs.CV2020★ 27 cited

Self-supervised Training of Graph Convolutional Networks

Qikui Zhu, Bo Du, Pingkun Yan

Graph Convolutional Networks (GCNs) have been successfully applied to analyze non-grid data, where the classical convolutional neural networks (CNNs) cannot be directly used. One s…