… This paper addresses this problem by performing stereo matching on foreground and
background layer separately. Let \(F^f\) denote foreground layer of image F and \(F^b\) denote …

… Taken the above together, we propose an occlusion aware stereo matching network (OASM-Net).
The network comprises a prior module to reason occlusion and a succeeding module …

… Taking the above together, we propose an occlusion-aware stereo matching network with
directed disparity smoothness (OASM-DDS). The network, as shown in Fig. 2(a), comprises an …

… facilitated by learningbased stereo-matching algorithms, the … stereo-matching network
called Global Occlusion-Aware … regions, an occlusionaware global aggregation module (OGA…

… an unsupervised stereo matching approach with a novel occlusion-aware reconstruction loss.
… Competitive results can be achieved on the public datasets (Kitti Stereo 2012, Kitti Stereo …

… In this work, we present the Occlusion-aware Recurrent binocular Stereo matching (ORStereo),
which deals with these issues by only training on available low disparity range stereo …

… other unsupervised methods for stereo matching. Moreover, our occlusion-aware strategies
can be extended to the other stereo methods conveniently and improve their performances. …

… warping is the bottleneck of performance improvement for many stereo matching networks.
In this paper, we propose an Occlusion-Aware Refinement Module (OARM), which can learn …

… A comparison of various training methods in stereo matching, … Self-supervised stereo matching
methods have emerged as a … Yuan, “Occlusion aware stereo matching via cooperative un…

… , we adopt a hierarchical occlusion-aware refinement module inspired by [30] and [19]. …
With raw disparity fusion and occlusion-aware refinement, disparity maps from our approach …