Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report

Author:

Ignatov Andrey,Malivenko Grigory,Plowman David,Shukla Samarth,Timofte Radu,Zhang Ziyu,Wang Yicheng,Huang Zilong,Luo Guozhong,Yu Gang,Fu Bin,Wang Yiran,Li Xingyi,Shi Min,Xian Ke,Cao Zhiguo,Du Jin-Hua,Wu Pei-Lin,Ge Chao,Yao Jiaoyang,Tu Fangwen,Li Bo,Yoo Jung Eun,Seo Kwanggyoon,Xu Jialei,Li Zhenyu,Liu Xianming,Jiang Junjun,Chen Wei-Chi,Joya Shayan,Fan Huanhuan,Kang Zhaobing,Li Ang,Feng Tianpeng,Liu Yang,Sheng Chuannan,Yin Jian,Benavides Fausto T.

Publisher

IEEE

Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Advancements in TinyML: Applications, Limitations, and Impact on IoT Devices;Electronics;2024-09-08

2. Diffusion-Augmented Depth Prediction with Sparse Annotations;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

3. FasterMDE: A real-time monocular depth estimation search method that balances accuracy and speed on the edge;Applied Intelligence;2023-07-26

4. The Second Monocular Depth Estimation Challenge;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

5. NTIRE 2023 Challenge on HR Depth from Images of Specular and Transparent Surfaces;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

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