6 citations · 7 across the 3 of their papers we have counts for
3 papers
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…
cs.CV2022★ 1 cited
Background-Mixed Augmentation for Weakly Supervised Change Detection
Rui Huang, Ruofei Wang, Qing Guo +4
Change detection (CD) is to decouple object changes (i.e., object missing or appearing) from background changes (i.e., environment variations) like light and season variations in t…