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Fast and Accurate Quantized Camera Scene Detection on Smartphones,
  Mobile AI 2021 Challenge: Report

Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report

17 May 2021
Andrey D. Ignatov
Grigory Malivenko
Radu Timofte
Sheng Chen
Xin Xia
Zhaoyan Liu
Yuwei Zhang
Feng Zhu
Jiashi Li
Xuefeng Xiao
Yuan Tian
Xing Wu
C. Kyrkou
Yixin Chen
Zexin Zhang
Yunbo Peng
Yue-Hsun Lin
S. Dutta
Sourya Dipta Das
Nisarg A. Shah
Himanshu Kumar
Chao Ge
Pei Wu
Jin-Hua Du
A. Batutin
J. P. Federico
K. Lyda
L. Khojoyan
Abhishek Thanki
Sayak Paul
Shahid Siddiqui
    MQ
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Papers citing "Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report"

34 / 34 papers shown
Title
Fast and Accurate Camera Scene Detection on Smartphones
Fast and Accurate Camera Scene Detection on Smartphones
Angeline Pouget
Sidharth Ramesh
Maximilian Giang
Ramithan Chandrapalan
Toni Tanner
Moritz Prussing
Radu Timofte
Andrey D. Ignatov
3DH
39
5
0
17 May 2021
Fast and Accurate Single-Image Depth Estimation on Mobile Devices,
  Mobile AI 2021 Challenge: Report
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report
Andrey D. Ignatov
Grigory Malivenko
D. Plowman
Samarth Shukla
Radu Timofte
...
Tianpeng Feng
Yang Liu
Chuannan Sheng
Jian Yin
Fausto T. Benavide
MDE
48
36
0
17 May 2021
Real-Time Video Super-Resolution on Smartphones with Deep Learning,
  Mobile AI 2021 Challenge: Report
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report
Andrey D. Ignatov
Andrés Romero
Heewon Kim
Radu Timofte
C. Ho
...
Xiumei Wang
Jiaming Guo
Xueyi Zhou
Hao Jia
Youliang Yan
SupR
37
53
0
17 May 2021
Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI
  2021 Challenge: Report
Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report
Andrey D. Ignatov
Radu Timofte
Maurizio Denna
Abdelrazak Younes
A. Lek
...
Kun Zeng
Peirong Li
Zhi-Hao Liu
Shiqi Xue
Shengpeng Wang
SupR
MQ
43
60
0
17 May 2021
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI
  2021 Challenge: Report
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
44
30
0
17 May 2021
Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021
  Challenge: Report
Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report
Andrey D. Ignatov
Cheng-Ming Chiang
Hsien-Kai Kuo
Anastasia Sycheva
Radu Timofte
...
K. Upla
Kiran Raja
Raghavendra Ramachandra
Christoph Busch
Etienne de Stoutz
51
48
0
17 May 2021
AIM 2020 Challenge on Learned Image Signal Processing Pipeline
AIM 2020 Challenge on Learned Image Signal Processing Pipeline
Andrey D. Ignatov
Radu Timofte
Zhilu Zhang
Ming-Yu Liu
Haolin Wang
...
Jun Jiang
Liang Feng
Keqin Li
P. Tan
Bingxin Hou
64
66
0
10 Nov 2020
AIM 2020 Challenge on Rendering Realistic Bokeh
AIM 2020 Challenge on Rendering Realistic Bokeh
Andrey D. Ignatov
Radu Timofte
Ming Qian
Congyu Qiao
Jiamin Lin
...
Xueqin Chen
Tengyao Wang
Max Zheng
Hulk Wong
Jay S. Zou
54
44
0
10 Nov 2020
Controlling Information Capacity of Binary Neural Network
Controlling Information Capacity of Binary Neural Network
D. Ignatov
Andrey D. Ignatov
MQ
71
21
0
04 Aug 2020
T-Basis: a Compact Representation for Neural Networks
T-Basis: a Compact Representation for Neural Networks
Anton Obukhov
M. Rakhuba
Stamatios Georgoulis
Menelaos Kanakis
Dengxin Dai
Luc Van Gool
73
27
0
13 Jul 2020
Rendering Natural Camera Bokeh Effect with Deep Learning
Rendering Natural Camera Bokeh Effect with Deep Learning
Andrey D. Ignatov
Jagruti Patel
Radu Timofte
47
73
0
10 Jun 2020
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and
  Results
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
A. Abdelhamed
Mahmoud Afifi
Radu Timofte
M. S. Brown
Yue Cao
...
Tingniao Wang
C. Lei
Bin Liu
Rajat Gupta
Vineet Kumar
82
85
0
08 May 2020
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and
  Results
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
Andreas Lugmayr
Martin Danelljan
Radu Timofte
Namhyuk Ahn
Dongwoon Bai
...
Tongtong Zhao
Yuanbo Zhou
Haijie Zhuo
Ziyao Zong
Xueyi Zou
SupR
144
170
0
05 May 2020
Deploying Image Deblurring across Mobile Devices: A Perspective of
  Quality and Latency
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency
Cheng-Ming Chiang
Yu-Wen Tseng
Yu-Syuan Xu
Hsien-Kai Kuo
Yi-Min Tsai
...
Chia-Lin Yu
B. Shen
Kloze Kao
Chia-Ming Cheng
Hung-Jen Chen
50
22
0
27 Apr 2020
FBNetV2: Differentiable Neural Architecture Search for Spatial and
  Channel Dimensions
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
Alvin Wan
Xiaoliang Dai
Peizhao Zhang
Zijian He
Yuandong Tian
...
Matthew Yu
Tao Xu
Kan Chen
Peter Vajda
Joseph E. Gonzalez
64
291
0
12 Apr 2020
ZeroQ: A Novel Zero Shot Quantization Framework
ZeroQ: A Novel Zero Shot Quantization Framework
Yaohui Cai
Z. Yao
Zhen Dong
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
85
397
0
01 Jan 2020
Big Transfer (BiT): General Visual Representation Learning
Big Transfer (BiT): General Visual Representation Learning
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
J. Puigcerver
Jessica Yung
Sylvain Gelly
N. Houlsby
MQ
278
1,205
0
24 Dec 2019
Quantization Networks
Quantization Networks
Jiwei Yang
Xu Shen
Jun Xing
Xinmei Tian
Houqiang Li
Bing Deng
Jianqiang Huang
Xiansheng Hua
MQ
72
346
0
21 Nov 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
307
2,386
0
11 Nov 2019
AI Benchmark: All About Deep Learning on Smartphones in 2019
AI Benchmark: All About Deep Learning on Smartphones in 2019
Andrey D. Ignatov
Radu Timofte
Andrei Kulik
Seungsoo Yang
Ke Wang
Felix Baum
Max Wu
Lirong Xu
Luc Van Gool
ELM
43
220
0
15 Oct 2019
Learning Filter Basis for Convolutional Neural Network Compression
Learning Filter Basis for Convolutional Neural Network Compression
Yawei Li
Shuhang Gu
Luc Van Gool
Radu Timofte
SupR
57
99
0
23 Aug 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
137
18,115
0
28 May 2019
Searching for MobileNetV3
Searching for MobileNetV3
Andrew G. Howard
Mark Sandler
Grace Chu
Liang-Chieh Chen
Bo Chen
...
Yukun Zhu
Ruoming Pang
Vijay Vasudevan
Quoc V. Le
Hartwig Adam
345
6,778
0
06 May 2019
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
Zechun Liu
Haoyuan Mu
Xiangyu Zhang
Zichao Guo
Xin Yang
K. Cheng
Jian Sun
73
559
0
25 Mar 2019
Trained Quantization Thresholds for Accurate and Efficient Fixed-Point
  Inference of Deep Neural Networks
Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks
Sambhav R. Jain
Albert Gural
Michael Wu
Chris Dick
MQ
70
152
0
19 Mar 2019
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural
  Architecture Search
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
Bichen Wu
Xiaoliang Dai
Peizhao Zhang
Yanghan Wang
Fei Sun
Yiming Wu
Yuandong Tian
Peter Vajda
Yangqing Jia
Kurt Keutzer
MQ
100
1,303
0
09 Dec 2018
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
Andrey D. Ignatov
Radu Timofte
Thang Vu
Tung M. Luu
T. Pham
...
T. Nimisha
Praveen Kandula
A. N. Rajagopalan
Jie Liu
Cheolkon Jung
SupR
72
136
0
03 Oct 2018
AI Benchmark: Running Deep Neural Networks on Android Smartphones
AI Benchmark: Running Deep Neural Networks on Android Smartphones
Andrey D. Ignatov
Radu Timofte
William Chou
Ke Wang
Max Wu
Tim Hartley
Luc Van Gool
ELM
68
323
0
02 Oct 2018
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved
  Representational Capability and Advanced Training Algorithm
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm
Zechun Liu
Baoyuan Wu
Wenhan Luo
Xin Yang
Wen Liu
K. Cheng
MQ
81
555
0
01 Aug 2018
MnasNet: Platform-Aware Neural Architecture Search for Mobile
MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan
Bo Chen
Ruoming Pang
Vijay Vasudevan
Mark Sandler
Andrew G. Howard
Quoc V. Le
MQ
117
3,009
0
31 Jul 2018
Averaging Weights Leads to Wider Optima and Better Generalization
Averaging Weights Leads to Wider Optima and Better Generalization
Pavel Izmailov
Dmitrii Podoprikhin
T. Garipov
Dmitry Vetrov
A. Wilson
FedML
MoMe
121
1,659
0
14 Mar 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
178
19,271
0
13 Jan 2018
Quantization and Training of Neural Networks for Efficient
  Integer-Arithmetic-Only Inference
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
150
3,123
0
15 Dec 2017
WESPE: Weakly Supervised Photo Enhancer for Digital Cameras
WESPE: Weakly Supervised Photo Enhancer for Digital Cameras
Andrey D. Ignatov
Nikolay Kobyshev
Radu Timofte
K. Vanhoey
Luc Van Gool
DiffM
58
172
0
04 Sep 2017
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