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PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching
[article]
2022
arXiv
pre-print
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To tackle these problems, we propose PCW-Net, a Pyramid Combination and Warping cost volume-based network to achieve good performance on both cross-domain generalization and stereo matching accuracy on ...
First, we construct combination volumes on the upper levels of the pyramid and develop a cost volume fusion module to integrate them for initial disparity estimation. ...
Conclusion In this paper, we have proposed a pyramid combination and warping cost volume based network, i.e., PCW-Net, for accurate and robust stereo matching. ...
arXiv:2006.12797v3
fatcat:7ldmvfzrqzecjjbblcvwoxjtry
Deep Learning-Based Stereopsis and Monocular Depth Estimation Techniques: A Review
2024
Vehicles
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Over the years, stereo depth estimation has been provided with various training modes, such as supervised, self-supervised, and unsupervised, before deploying it for real-time performance. ...
These modes are to be used depending on the application and/or the availability of datasets for training. ...
To deal with the trade-off between the performances based on stereo-matching and cross-domain generalization, "PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching" [70] suggests ...
doi:10.3390/vehicles6010013
fatcat:ytrmbbjucva7jnnluw23yu2elu
Left-right Discrepancy for Adversarial Attack on Stereo Networks
[article]
2024
arXiv
pre-print
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2024; you can also visit the original URL.
The file type is application/pdf.
Stereo matching neural networks often involve a Siamese structure to extract intermediate features from left and right images. ...
Additionally, we extend our approach to include a proxy network black-box attack method, eliminating the need for access to stereo neural network. ...
PCW-Net [29] similarly adopts the concept of disparity refinement by concatenating the left feature, the warped right feature and the difference between them to construct the cost volume for refinement ...
arXiv:2401.07188v1
fatcat:keejk67d6ncnfj4zu4nqvbg2a4