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2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (263)
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Cai, Z., He, X., Sun, J., & Vasconcelos, N. (2017). Deep Learning with Low Precision by Half-Wave Gaussian Quantization. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5406–5414.

Authors 4
  1. Zhaowei Cai (first)
  2. Xiaodong He (additional)
  3. Jian Sun (additional)
  4. Nuno Vasconcelos (additional)
References 37 Referenced 314
  1. {'key': 'ref33', 'volume': 'abs 1409 1556', 'author': 'simonyan', 'year': '2014', 'journal-title': 'Very Deep Convolutional Networks for Large-scale Image Recognition'} / Very Deep Convolutional Networks for Large-scale Image Recognition by simonyan (2014)
  2. 10.1007/s11263-015-0816-y
  3. {'key': 'ref31', 'first-page': '91', 'article-title': 'Faster R-CNN: towards real-time object detection with region proposal networks', 'author': 'ren', 'year': '2015', 'journal-title': 'NIPS'} / NIPS / Faster R-CNN: towards real-time object detection with region proposal networks by ren (2015)
  4. {'key': 'ref30', 'first-page': '525', 'article-title': 'Xnornet: Imagenet classification using binary convolutional neural networks', 'author': 'rastegari', 'year': '2016', 'journal-title': 'ECCV'} / ECCV / Xnornet: Imagenet classification using binary convolutional neural networks by rastegari (2016)
  5. {'key': 'ref37', 'volume': 'abs 1606 6160', 'author': 'zhou', 'year': '2016', 'journal-title': 'DoReFa-Net Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients'} / DoReFa-Net Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients by zhou (2016)
  6. 10.1109/ICASSP.2013.6638312
  7. {'key': 'ref35', 'article-title': 'Improving the speed of neural networks on cpus', 'author': 'vanhoucke', 'year': '2011', 'journal-title': 'Proc Deep Learning and Unsupervised Feature Learning Workshop NIPS 2011'} / Proc Deep Learning and Unsupervised Feature Learning Workshop NIPS 2011 / Improving the speed of neural networks on cpus by vanhoucke (2011)
  8. 10.1109/CVPR.2015.7298594
  9. {'key': 'ref10', 'first-page': '1135', 'article-title': 'Learning both weights and connections for efficient neural network', 'author': 'han', 'year': '2015', 'journal-title': 'NIPS'} / NIPS / Learning both weights and connections for efficient neural network by han (2015)
  10. 10.1109/ICCV.2015.123
  11. 10.1109/CVPR.2016.90
  12. {'key': 'ref13', 'volume': 'abs 1207 580', 'author': 'hinton', 'year': '2012', 'journal-title': 'Improving Neural Networks by Preventing Co-adaptation of Feature Detectors'} / Improving Neural Networks by Preventing Co-adaptation of Feature Detectors by hinton (2012)
  13. 10.1214/aoms/1177703732
  14. 10.1016/S0893-6080(00)00026-5
  15. {'key': 'ref16', 'volume': 'abs 1602 7360', 'author': 'iandola', 'year': '2016', 'journal-title': 'SqueezeNet AlexNet-level accuracy with 50x fewer parameters and < 1MB model size'} / SqueezeNet AlexNet-level accuracy with 50x fewer parameters and < 1MB model size by iandola (2016)
  16. {'key': 'ref17', 'first-page': '448', 'article-title': 'Batch normalization: Accelerating deep network training by reducing internal covariate shift', 'author': 'ioffe', 'year': '2015', 'journal-title': 'ICML'} / ICML / Batch normalization: Accelerating deep network training by reducing internal covariate shift by ioffe (2015)
  17. {'key': 'ref18', 'article-title': 'Speeding up convolutional neural networks with low rank expansions', 'author': 'jaderberg', 'year': '2014', 'journal-title': 'BMVC'} / BMVC / Speeding up convolutional neural networks with low rank expansions by jaderberg (2014)
  18. 10.1145/2647868.2654889
  19. {'key': 'ref28', 'first-page': '807', 'article-title': 'Rectified linear units improve restricted boltzmann machines', 'author': 'nair', 'year': '2010', 'journal-title': 'ICML'} / ICML / Rectified linear units improve restricted boltzmann machines by nair (2010)
  20. {'key': 'ref4', 'volume': 'abs 1602 2830', 'author': 'courbariaux', 'year': '2016', 'journal-title': 'Binarized neural networks Training neural networks with weights and activations constrained to +1 or ?1'} / Binarized neural networks Training neural networks with weights and activations constrained to +1 or ?1 by courbariaux (2016)
  21. 10.1109/TIT.1982.1056489
  22. {'key': 'ref3', 'first-page': '3123', 'article-title': 'Binaryconnect: Training deep neural networks with binary weights during propagations', 'author': 'courbariaux', 'year': '2015', 'journal-title': 'NIPS'} / NIPS / Binaryconnect: Training deep neural networks with binary weights during propagations by courbariaux (2015)
  23. {'key': 'ref6', 'first-page': '1269', 'article-title': 'Exploiting linear structure within convolutional networks for efficient evaluation', 'author': 'denton', 'year': '2014', 'journal-title': 'NIPS'} / NIPS / Exploiting linear structure within convolutional networks for efficient evaluation by denton (2014)
  24. {'key': 'ref29', 'first-page': '1310', 'article-title': 'On the difficulty of training recurrent neural networks', 'author': 'pascanu', 'year': '2013', 'journal-title': 'ICML'} / ICML / On the difficulty of training recurrent neural networks by pascanu (2013)
  25. {'key': 'ref5', 'first-page': '2148', 'article-title': 'Predicting parameters in deep learning', 'author': 'denil', 'year': '2013', 'journal-title': 'NIPS'} / NIPS / Predicting parameters in deep learning by denil (2013)
  26. {'key': 'ref8', 'volume': 'abs 1412 6115', 'author': 'gong', 'year': '2014', 'journal-title': 'Compressing deep convolutional networks using vector quantization'} / Compressing deep convolutional networks using vector quantization by gong (2014)
  27. 10.1109/ICCV.2015.169
  28. {'key': 'ref2', 'first-page': '2285', 'article-title': 'Compressing neural networks with the hashing trick', 'author': 'chen', 'year': '2015', 'journal-title': 'ICML'} / ICML / Compressing neural networks with the hashing trick by chen (2015)
  29. {'key': 'ref9', 'volume': 'abs 1510 149', 'author': 'han', 'year': '2015', 'journal-title': 'Deep compression Compressing deep neural network with pruning trained quantization and huffman coding'} / Deep compression Compressing deep neural network with pruning trained quantization and huffman coding by han (2015)
  30. {'key': 'ref1', 'first-page': '354', 'article-title': 'A unified multi-scale deep convolutional neural network for fast object detection', 'author': 'cai', 'year': '2016', 'journal-title': 'ECCV'} / ECCV / A unified multi-scale deep convolutional neural network for fast object detection by cai (2016)
  31. {'year': '2009', 'author': 'krizhevsky', 'journal-title': 'Learning multiple layers of features from tiny images', 'key': 'ref20'} / Learning multiple layers of features from tiny images by krizhevsky (2009)
  32. {'key': 'ref22', 'volume': 'abs 1605 4711', 'author': 'li', 'year': '2016', 'journal-title': 'Ternary Weight Networks'} / Ternary Weight Networks by li (2016)
  33. {'key': 'ref21', 'first-page': '1106', 'article-title': 'Imagenet classification with deep convolutional neural networks', 'author': 'krizhevsky', 'year': '2012', 'journal-title': 'NIPS'} / NIPS / Imagenet classification with deep convolutional neural networks by krizhevsky (2012)
  34. {'key': 'ref24', 'first-page': '2849', 'article-title': 'Fixed point quantization of deep convolutional networks', 'author': 'lin', 'year': '2016', 'journal-title': 'ICML'} / ICML / Fixed point quantization of deep convolutional networks by lin (2016)
  35. {'key': 'ref23', 'volume': 'abs 1607 2241', 'author': 'lin', 'year': '2016', 'journal-title': 'Overcoming challenges in fixed point training of deep convolutional networks'} / Overcoming challenges in fixed point training of deep convolutional networks by lin (2016)
  36. {'key': 'ref26', 'volume': 'abs 1510 3009', 'author': 'lin', 'year': '2015', 'journal-title': 'Neural networks with few multiplications'} / Neural networks with few multiplications by lin (2015)
  37. {'key': 'ref25', 'volume': 'abs 1312 4400', 'author': 'lin', 'year': '2013', 'journal-title': 'Network in Network'} / Network in Network by lin (2013)
Dates
Type When
Created 7 years, 9 months ago (Nov. 9, 2017, 4:50 p.m.)
Deposited 7 years, 8 months ago (Dec. 18, 2017, 5:22 p.m.)
Indexed 1 week, 1 day ago (Aug. 30, 2025, 1:16 p.m.)
Issued 8 years, 2 months ago (July 1, 2017)
Published 8 years, 2 months ago (July 1, 2017)
Published Print 8 years, 2 months ago (July 1, 2017)
Funders 0

None

@inproceedings{Cai_2017, title={Deep Learning with Low Precision by Half-Wave Gaussian Quantization}, url={http://dx.doi.org/10.1109/cvpr.2017.574}, DOI={10.1109/cvpr.2017.574}, booktitle={2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, publisher={IEEE}, author={Cai, Zhaowei and He, Xiaodong and Sun, Jian and Vasconcelos, Nuno}, year={2017}, month=jul, pages={5406–5414} }