most citedCross Branch Feature Fusion Decoder for Consistency Regularization-based Semi-Supervised Change Detection

6 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

3D-SSM: A Novel 3D Selective Scan Module for Remote Sensing Change Detection

Rui Huang, Jincheng Zeng, Sen Gao +1

Existing Mamba-based approaches in remote sensing change detection have enhanced scanning models, yet remain limited by their inability to capture long-range dependencies between i…

cs.CV2025

CEBSNet: Change-Excited and Background-Suppressed Network with Temporal Dependency Modeling for Bitemporal Change Detection

Qi'ao Xu, Yan Xing, Jiali Hu +2

Change detection, a critical task in remote sensing and computer vision, aims to identify pixel-level differences between image pairs captured at the same geographic area but diffe…

cs.CV2024

GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection

Yan Xing, Qi'ao Xu, Zongyu Guo +2

Semi-supervised change detection (SSCD) utilizes partially labeled data and abundant unlabeled data to detect differences between multi-temporal remote sensing images. The mainstre…

cs.CV2024★ 6 cited

Cross Branch Feature Fusion Decoder for Consistency Regularization-based Semi-Supervised Change Detection

Yan Xing, Qi'ao Xu, Jingcheng Zeng +5

Semi-supervised change detection (SSCD) utilizes partially labeled data and a large amount of unlabeled data to detect changes. However, the transformer-based SSCD network does not…

cs.CV2024

A Saliency Enhanced Feature Fusion based multiscale RGB-D Salient Object Detection Network

Rui Huang, Qingyi Zhao, Yan Xing +4

Multiscale convolutional neural network (CNN) has demonstrated remarkable capabilities in solving various vision problems. However, fusing features of different scales alwaysresult…