1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CV2019
Dedge-AGMNet:an effective stereo matching network optimized by depth edge auxiliary task
Weida Yang, Xindong Ai, Zuliu Yang +2
To improve the performance in ill-posed regions, this paper proposes an atrous granular multi-scale network based on depth edge subnetwork(Dedge-AGMNet). According to a general fac…
cs.CV2019★ 1 cited
End-to-End Learning of Multi-scale Convolutional Neural Network for Stereo Matching
Li Zhang, Quanhong Wang, Haihua Lu +1
Deep neural networks have shown excellent performance in stereo matching task. Recently CNN-based methods have shown that stereo matching can be formulated as a supervised learning…
cs.CV2018
Cascaded multi-scale and multi-dimension convolutional neural network for stereo matching
Haihua Lu, Hai Xu, Li Zhang +1
Convolutional neural networks(CNN) have been shown to perform better than the conventional stereo algorithms for stereo estimation. Numerous efforts focus on the pixel-wise matchin…