CVPR 2021 Open Access Repository

Binary Networks for Computer Vision

Adaptive Binary-Ternary Quantization: Ryan Razani,

Gregoire Morin,

Eyyub Sari,

Vahid Partovi Nia; [pdf]
[bibtex]
@InProceedings{Razani_2021_CVPR, author = {Razani, Ryan and Morin, Gregoire and Sari, Eyyub and Nia, Vahid Partovi}, title = {Adaptive Binary-Ternary Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {4613-4618} }
On the Application of Binary Neural Networks in Oblivious Inference: Mohammad Samragh,

Siam Hussain,

Xinqiao Zhang,

Ke Huang,

Farinaz Koushanfar; [pdf]
[bibtex]
@InProceedings{Samragh_2021_CVPR, author = {Samragh, Mohammad and Hussain, Siam and Zhang, Xinqiao and Huang, Ke and Koushanfar, Farinaz}, title = {On the Application of Binary Neural Networks in Oblivious Inference}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {4630-4639} }
Training Dynamical Binary Neural Networks With Equilibrium Propagation: Jeremie Laydevant,

Maxence Ernoult,

Damien Querlioz,

Julie Grollier; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Laydevant_2021_CVPR, author = {Laydevant, Jeremie and Ernoult, Maxence and Querlioz, Damien and Grollier, Julie}, title = {Training Dynamical Binary Neural Networks With Equilibrium Propagation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {4640-4649} }
Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks: Hongyi Pan,

Diaa Badawi,

Ahmet Enis Cetin; [pdf]
[bibtex]
@InProceedings{Pan_2021_CVPR, author = {Pan, Hongyi and Badawi, Diaa and Cetin, Ahmet Enis}, title = {Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {4650-4659} }
Initialization and Transfer Learning of Stochastic Binary Networks From Real-Valued Ones: Anastasiia Livochka,

Alexander Shekhovtsov; [pdf]
[bibtex]
@InProceedings{Livochka_2021_CVPR, author = {Livochka, Anastasiia and Shekhovtsov, Alexander}, title = {Initialization and Transfer Learning of Stochastic Binary Networks From Real-Valued Ones}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {4660-4668} }
"BNN - BN = ?": Training Binary Neural Networks Without Batch Normalization: Tianlong Chen,

Zhenyu Zhang,

Xu Ouyang,

Zechun Liu,

Zhiqiang Shen,

Zhangyang Wang; [pdf]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Tianlong and Zhang, Zhenyu and Ouyang, Xu and Liu, Zechun and Shen, Zhiqiang and Wang, Zhangyang}, title = {''BNN - BN = ?'': Training Binary Neural Networks Without Batch Normalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {4619-4629} }
BCNN: A Binary CNN With All Matrix Ops Quantized to 1 Bit Precision: Arthur J. Redfern,

Lijun Zhu,

Molly K. Newquist; [pdf] [arXiv]
[bibtex]
@InProceedings{Redfern_2021_CVPR, author = {Redfern, Arthur J. and Zhu, Lijun and Newquist, Molly K.}, title = {BCNN: A Binary CNN With All Matrix Ops Quantized to 1 Bit Precision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {4604-4612} }