Name
Abstract | ||
|---|---|---|
The cost volume plays a pivotal role in stereo matching, usually working as an optimization object. However, we find it also can provide effective scene prior to guide the disparity learning, as it reflects well the depth relationship between scenario objects. Inspired by this new perspective, we propose the CSA module, which consists of a new correlation and selection (CS) layer and a new aggrega... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICME51207.2021.9428216 | 2021 IEEE International Conference on Multimedia and Expo (ICME) |
Keywords | DocType | ISBN |
Correlation,Image color analysis,Convolution,Conferences,Estimation,Feature extraction,Automobiles | Conference | 978-1-6654-3864-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||