Mobilenets: Efficient convolutional neural networks for mobile vision applications AG Howard arXiv preprint arXiv:1704.04861, 2017 | 27052 | 2017 |
Searching for MobileNetV3 A Howard, M Sandler, G Chu, LC Chen, B Chen, M Tan, W Wang, Y Zhu, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 8563 | 2019 |
MobileNets: efficient convolutional neural networks for mobile vision applications (2017) AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861 126, 2017 | 594 | 2017 |
Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint (2017) AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861, 2017 | 215 | 2017 |
Mobilenets: E cient convolutional neural networks for mobile vision applications AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861 2, 2017 | 91 | 2017 |
Searching for mobilenetv3. arXiv 2019 A Howard, M Sandler, G Chu, LC Chen, B Chen, M Tan, W Wang, Y Zhu, ... arXiv preprint arXiv:1905.02244, 1905 | 81 | 1905 |
Geo-aware networks for fine-grained recognition G Chu, B Potetz, W Wang, A Howard, Y Song, F Brucher, T Leung, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 78 | 2019 |
Mobilenets: Efficient convolutional neural networks for mobile vision applications, CoRR abs/1704.04861 AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861 735, 2017 | 49 | 2017 |
Efficient convolutional neural networks and techniques to reduce associated computational costs AG Howard, B Chen, D Kalenichenko, TC Weyand, M Zhu, M Andreetto, ... US Patent 11,157,814, 2021 | 48 | 2021 |
Effects of steam explosion pretreatment on the bioactive components and characteristics of rapeseed and rapeseed products W Wang, B Yang, W Li, Q Zhou, C Liu, C Zheng LWT 143, 111172, 2021 | 40 | 2021 |
Discovering multi-hardware mobile models via architecture search G Chu, O Arikan, G Bender, W Wang, A Brighton, PJ Kindermans, H Liu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 31 | 2021 |
& Adam, H.(2017) AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand Mobilenets: Efficient convolutional neural networks for mobile vision …, 0 | 28 | |
Robust object tracking using constellation model with superpixel W Wang, R Nevatia Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013 | 27 | 2013 |
Mobilenets: Efficient convolutional neural networks for mobile vision applications. CoRR (2017) AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861, 2017 | 24 | 2017 |
MobileNetV4-Universal Models for the Mobile Ecosystem D Qin, C Leichner, M Delakis, M Fornoni, S Luo, F Yang, W Wang, ... arXiv preprint arXiv:2404.10518, 2024 | 22 | 2024 |
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation S Sun, W Wang, Q Yu, AG Howard, P Torr, LC Chen 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023 | 11 | 2023 |
Beyond pedestrians: A hybrid approach of tracking multiple articulating humans W Wang, R Nevatia, B Yang 2015 IEEE Winter Conference on Applications of Computer Vision, 132-139, 2015 | 11 | 2015 |
Object Retrieval Using Configurations of Salient Regions W Wang, Y Luo, G Tang Proceedings of the 2008 international conference on Content-based image and …, 2008 | 10 | 2008 |
Mobilenetv4-universal models for the mobile ecosystem. arXiv 2024 D Qin, C Leichner, M Delakis, M Fornoni, S Luo, F Yang, W Wang, ... arXiv preprint arXiv:2404.10518, 0 | 8 | |
Mosaic: Mobile segmentation via decoding aggregated information and encoded context W Wang, A Howard arXiv preprint arXiv:2112.11623, 2021 | 6 | 2021 |