Shuffle in 3D: A Lightweight Architecture for Stereo Matching
The deep learning-based stereo matching approaches commonly construct 3D cost volume with a Siamese network, and the 3D encoder-decoder architectures regularize 3D cost volume to generate disparity as output. Yet, the 3D encoder-decoder architectures produce tremendous parameters that causing huge t...
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| Vydané v: | 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE) s. 675 - 677 |
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| Hlavní autori: | , |
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| Jazyk: | English |
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12.10.2021
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| Abstract | The deep learning-based stereo matching approaches commonly construct 3D cost volume with a Siamese network, and the 3D encoder-decoder architectures regularize 3D cost volume to generate disparity as output. Yet, the 3D encoder-decoder architectures produce tremendous parameters that causing huge training and inference cost. In this paper, we propose a 3D ShuffleNet-based approach on PSMNet, which greatly saves the computational cost without losing without reducing the performance of the network. |
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| AbstractList | The deep learning-based stereo matching approaches commonly construct 3D cost volume with a Siamese network, and the 3D encoder-decoder architectures regularize 3D cost volume to generate disparity as output. Yet, the 3D encoder-decoder architectures produce tremendous parameters that causing huge training and inference cost. In this paper, we propose a 3D ShuffleNet-based approach on PSMNet, which greatly saves the computational cost without losing without reducing the performance of the network. |
| Author | Yamane, Satoshi Xiao, Jianqiang |
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| Snippet | The deep learning-based stereo matching approaches commonly construct 3D cost volume with a Siamese network, and the 3D encoder-decoder architectures... |
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| StartPage | 675 |
| SubjectTerms | 3D ShuffleNet Computational efficiency Computer architecture Conferences Consumer electronics Costs lightweight 3D encoder-decoder Stereo Matching Three-dimensional displays Training |
| Title | Shuffle in 3D: A Lightweight Architecture for Stereo Matching |
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