ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation
Fuente:
arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866916560747102208 |
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| author | Bora, Maheswar Anand, Tushar Atreya, Saurabh Mukherjee, Aritra Das, Abhijit |
| author_facet | Bora, Maheswar Anand, Tushar Atreya, Saurabh Mukherjee, Aritra Das, Abhijit |
| contents | In this work we propose a Visual Mamba (ViM) based architecture, to dissolve the existing trade-off for real-time and accurate model with low computation overhead for disparity map generation (DMG). Moreover, we proposed a performance measure that can jointly evaluate the inference speed, computation overhead and the accurateness of a DMG model. The code implementation and corresponding models are available at: https://github.com/MBora/ViM-Disparity. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_16745 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Bora, Maheswar Anand, Tushar Atreya, Saurabh Mukherjee, Aritra Das, Abhijit Computer Vision and Pattern Recognition In this work we propose a Visual Mamba (ViM) based architecture, to dissolve the existing trade-off for real-time and accurate model with low computation overhead for disparity map generation (DMG). Moreover, we proposed a performance measure that can jointly evaluate the inference speed, computation overhead and the accurateness of a DMG model. The code implementation and corresponding models are available at: https://github.com/MBora/ViM-Disparity. |
| title | ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2412.16745 |