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Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report

Andrey Ignatov,Radu Timofte,Maurizio Denna,Abdel Younes,Andrew Lek,Mustafa Ayazoglu,Jie Liu,Zongcai Du,Jiaming Guo,Xueyi Zhou,Hao Jia,Youliang Yan,Zexin Zhang,Yixin Chen,Yunbo Peng,Yue Lin,Xindong Zhang,Hui Zeng,Kun Zeng,Peirong Li,Zhihuang Liu,Shiqi Xue,Shengpeng Wang

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)（2021）

Cited 74|Views67
Key words
INT8 inference,real-time performance,trained quantized model,image upscaling,Synaptics VS680 Smart Home board,mobile AI accelerators,full HD images,Mobile AI 2021 challenge,computer vision problems,mobile devices,common smartphone AI hardware,constrained smart TV platforms,real-time quantized image superresolution,mobile NPU,end-to-end deep learning-based image superresolution solutions,edge NPU,DIV2K dataset,quantized neural network,mobile AI accelerator,full HD image reconstruction
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