Controlling Information Capacity of Binary Neural Network

4 August 2020

Papers citing "Controlling Information Capacity of Binary Neural Network"

6 / 6 papers shown

Title
Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 challenge: Report Andrey D. Ignatov Radu Timofte Jin Zhang Feng Zhang G. Yu ... Mingyang Qian Huixin Ma Yanan Li Xiaotao Wang Lei Lei 15 10 0 07 Nov 2022
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report Andrey D. Ignatov Radu Timofte Maurizio Denna Abdelbadie Younes Ganzorig Gankhuyag ... Jing Liu Garas Gendy Nabil Sabor J. Hou Guanghui He SupR MQ 23 31 0 07 Nov 2022
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report Andrey D. Ignatov Grigory Malivenko Radu Timofte Lukasz Treszczotko Xin-ke Chang ... Dongwon Park Seongmin Hong Joonhee Lee Seunggyu Lee Sengsub Chun 36 17 0 07 Nov 2022
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report Andrey D. Ignatov Radu Timofte Shuai Liu Chaoyu Feng Furui Bai ... Xin Lou Wei Zhou Cong Pang Haina Qin Mingxuan Cai 27 23 0 07 Nov 2022
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report Andrey D. Ignatov Grigory Malivenko Radu Timofte Sheng Chen Xin Xia ... K. Lyda L. Khojoyan Abhishek Thanki Sayak Paul Shahid Siddiqui MQ 21 20 0 17 May 2021
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report Andrey D. Ignatov Kim Byeoung-su Radu Timofte Angeline Pouget Fenglong Song ... Lei Lei Chaoyu Feng L. Huang Z. Lei Feifei Chen 25 30 0 17 May 2021