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1911.09464
Cited By
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Quantization Networks
Computer Vision and Pattern Recognition (CVPR), 2019
21 November 2019
Jiwei Yang
Xu Shen
Jun Xing
Xinmei Tian
Houqiang Li
Bing Deng
Jianqiang Huang
Xiansheng Hua
MQ
Re-assign community
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Papers citing
"Quantization Networks"
50 / 173 papers shown
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
Mingliang Xu
Mingbao Lin
Gongrui Nan
Jianzhuang Liu
Baochang Zhang
Yonghong Tian
Rongrong Ji
MQ
732
90
0
17 Nov 2021
LiMuSE: Lightweight Multi-modal Speaker Extraction
Qinghua Liu
Yating Huang
Yunzhe Hao
Jiaming Xu
Bo Xu
201
6
0
07 Nov 2021
A Dimensionality Reduction Approach for Convolutional Neural Networks
L. Meneghetti
N. Demo
G. Rozza
260
16
0
18 Oct 2021
A comprehensive review of Binary Neural Network
Artificial Intelligence Review (AIR), 2021
Chunyu Yuan
S. Agaian
MQ
378
125
0
11 Oct 2021
CBP: Backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method
Guhyun Kim
D. Jeong
MQ
223
2
0
06 Oct 2021
Distribution-sensitive Information Retention for Accurate Binary Neural Network
International Journal of Computer Vision (IJCV), 2021
Haotong Qin
Xiangguo Zhang
Yazhe Niu
Yifu Ding
Yi Xu
Xianglong Liu
MQ
211
122
0
25 Sep 2021
Learning Versatile Convolution Filters for Efficient Visual Recognition
Kai Han
Yunhe Wang
Chang Xu
Chunjing Xu
Enhua Wu
Dacheng Tao
133
8
0
20 Sep 2021
CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021
Wenxuan Zou
Muyi Sun
207
11
0
27 Aug 2021
Distance-aware Quantization
Jeimin Jeon
Junghyup Lee
Bumsub Ham
MQ
194
40
0
16 Aug 2021
PyEuroVoc: A Tool for Multilingual Legal Document Classification with EuroVoc Descriptors
Andrei-Marius Avram
V. Pais
D. Tufis
AILaw
VLM
297
20
0
02 Aug 2021
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning
Neural Information Processing Systems (NeurIPS), 2021
Kaan Ozkara
Navjot Singh
Deepesh Data
Suhas Diggavi
FedML
MQ
309
68
0
29 Jul 2021
Adaptive Precision Training (AdaPT): A dynamic fixed point quantized training approach for DNNs
SDM (SDM), 2021
Lorenz Kummer
Kevin Sidak
Tabea Reichmann
Wilfried Gansterer
MQ
226
8
0
28 Jul 2021
Dynamic Neural Network Architectural and Topological Adaptation and Related Methods -- A Survey
Lorenz Kummer
AI4CE
121
0
0
28 Jul 2021
Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks
H. Baumgartl
Ricardo Buettner
3DPC
118
4
0
23 Jul 2021
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Mingbao Lin
Bohong Chen
Jiayi Ji
Rongrong Ji
VLM
208
29
0
14 Jul 2021
Model compression as constrained optimization, with application to neural nets. Part V: combining compressions
Miguel Á. Carreira-Perpiñán
Yerlan Idelbayev
207
6
0
09 Jul 2021
Model Extraction and Adversarial Attacks on Neural Networks using Switching Power Information
Tommy Li
Cory E. Merkel
AAML
98
5
0
15 Jun 2021
Universal Adder Neural Networks
Hanting Chen
Yunhe Wang
Chang Xu
Chao Xu
Chunjing Xu
Tong Zhang
350
4
0
29 May 2021
DTNN: Energy-efficient Inference with Dendrite Tree Inspired Neural Networks for Edge Vision Applications
Yaoyu Zhang
Wai Teng Tang
Matthew Kay Fei Lee
Chuping Qu
Weng-Fai Wong
Rick Siow Mong Goh
126
0
0
25 May 2021
AirNet: Neural Network Transmission over the Air
IEEE Transactions on Wireless Communications (IEEE TWC), 2021
Mikolaj Jankowski
Deniz Gunduz
K. Mikolajczyk
451
1
0
24 May 2021
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
134
8
0
17 May 2021
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
214
23
0
17 May 2021
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
160
39
0
17 May 2021
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
180
64
0
17 May 2021
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
154
69
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
Daigang Xu
Z. Lei
Feifei Chen
167
35
0
17 May 2021
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
165
59
0
17 May 2021
Binarized Weight Error Networks With a Transition Regularization Term
Savas Ozkan
G. Akar
MQ
104
1
0
09 May 2021
Network Quantization with Element-wise Gradient Scaling
Computer Vision and Pattern Recognition (CVPR), 2021
Junghyup Lee
Jeimin Jeon
Bumsub Ham
MQ
196
140
0
02 Apr 2021
RCT: Resource Constrained Training for Edge AI
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Tian Huang
Yaoyu Zhang
Ming Yan
Qiufeng Wang
Rick Siow Mong Goh
295
11
0
26 Mar 2021
ReCU: Reviving the Dead Weights in Binary Neural Networks
IEEE International Conference on Computer Vision (ICCV), 2021
Zihan Xu
Mingbao Lin
Jianzhuang Liu
Jie Chen
Ling Shao
Yue Gao
Yonghong Tian
Rongrong Ji
MQ
235
96
0
23 Mar 2021
Weakly Supervised Recovery of Semantic Attributes
Ameen Ali
Tomer Galanti
Evgeniy Zheltonozhskiy
Chaim Baskin
Lior Wolf
157
0
0
22 Mar 2021
Compacting Deep Neural Networks for Internet of Things: Methods and Applications
IEEE Internet of Things Journal (IEEE IoT Journal), 2021
Ke Zhang
Hanbo Ying
Hongning Dai
Lin Li
Yuangyuang Peng
Keyi Guo
Hongfang Yu
278
46
0
20 Mar 2021
Learning Frequency Domain Approximation for Binary Neural Networks
Neural Information Processing Systems (NeurIPS), 2021
Yixing Xu
Kai Han
Chang Xu
Yehui Tang
Chunjing Xu
Yunhe Wang
MQ
291
61
0
01 Mar 2021
Distilling Knowledge via Intermediate Classifiers
Aryan Asadian
Amirali Salehi-Abari
159
1
0
28 Feb 2021
FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism
Design Automation Conference (DAC), 2021
Jenny Yang
Seongmin Hong
Joo-Young Kim
112
22
0
24 Feb 2021
QuPeL: Quantized Personalization with Applications to Federated Learning
Kaan Ozkara
Navjot Singh
Deepesh Data
Suhas Diggavi
FedML
174
5
0
23 Feb 2021
SiMaN: Sign-to-Magnitude Network Binarization
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Mingbao Lin
Rongrong Ji
Zi-Han Xu
Baochang Zhang
Jiayi Ji
Chia-Wen Lin
Ling Shao
AAML
MQ
274
32
0
16 Feb 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Neurocomputing (Neurocomputing), 2021
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
555
850
0
24 Jan 2021
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
661
3
0
04 Jan 2021
Adaptive Precision Training for Resource Constrained Devices
IEEE International Conference on Distributed Computing Systems (ICDCS), 2020
Tian Huang
Yaoyu Zhang
Qiufeng Wang
168
6
0
23 Dec 2020
An SMT-Based Approach for Verifying Binarized Neural Networks
Guy Amir
Haoze Wu
Clark W. Barrett
Guy Katz
231
65
0
05 Nov 2020
Training Binary Neural Networks through Learning with Noisy Supervision
International Conference on Machine Learning (ICML), 2020
Kai Han
Yunhe Wang
Yixing Xu
Chunjing Xu
Enhua Wu
Chang Xu
MQ
183
62
0
10 Oct 2020
BCNN: A Binary CNN with All Matrix Ops Quantized to 1 Bit Precision
A. Redfern
Lijun Zhu
Molly K. Newquist
MQ
361
16
0
01 Oct 2020
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
Yoonho Boo
Sungho Shin
Jungwook Choi
Wonyong Sung
MQ
175
34
0
30 Sep 2020
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
912
90
0
17 Sep 2020
Fast Implementation of 4-bit Convolutional Neural Networks for Mobile Devices
International Conference on Pattern Recognition (ICPR), 2020
A. Trusov
E. Limonova
Dmitry Slugin
D. Nikolaev
V. Arlazarov
MQ
251
20
0
14 Sep 2020
SoFAr: Shortcut-based Fractal Architectures for Binary Convolutional Neural Networks
Baozhou Zhu
P. Hofstee
Jinho Lee
Zaid Al-Ars
MQ
125
2
0
11 Sep 2020
One Weight Bitwidth to Rule Them All
Ting-Wu Chin
P. Chuang
Vikas Chandra
Diana Marculescu
MQ
197
26
0
22 Aug 2020
FATNN: Fast and Accurate Ternary Neural Networks
IEEE International Conference on Computer Vision (ICCV), 2020
Peng Chen
Bohan Zhuang
Chunhua Shen
MQ
289
18
0
12 Aug 2020
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