Efficient Deep Learning for Computer Vision


BAMSProd: A Step Towards Generalizing the Adaptive Optimization Methods to Deep Binary Model
Junjie Liu,
Dongchao Wen,
Deyu Wang,
Wei Tao,
Tse-Wei Chen,
Kinya Osa,
Masami Kato
[pdf] [supp]
[bibtex]
@InProceedings{Liu_2020_CVPR_Workshops,
author = {Liu, Junjie and Wen, Dongchao and Wang, Deyu and Tao, Wei and Chen, Tse-Wei and Osa, Kinya and Kato, Masami},
title = {BAMSProd: A Step Towards Generalizing the Adaptive Optimization Methods to Deep Binary Model},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Dynamic Inference: A New Approach Toward Efficient Video Action Recognition
Wenhao Wu,
Dongliang He,
Xiao Tan,
Shifeng Chen,
Yi Yang,
Shilei Wen
[pdf] [supp]
[bibtex]
@InProceedings{Wu_2020_CVPR_Workshops,
author = {Wu, Wenhao and He, Dongliang and Tan, Xiao and Chen, Shifeng and Yang, Yi and Wen, Shilei},
title = {Dynamic Inference: A New Approach Toward Efficient Video Action Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Learning Low-Rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification
Huanrui Yang,
Minxue Tang,
Wei Wen,
Feng Yan,
Daniel Hu,
Ang Li,
Hai Li,
Yiran Chen
[pdf] [supp]
[bibtex]
@InProceedings{Yang_2020_CVPR_Workshops,
author = {Yang, Huanrui and Tang, Minxue and Wen, Wei and Yan, Feng and Hu, Daniel and Li, Ang and Li, Hai and Chen, Yiran},
title = {Learning Low-Rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Low-Bit Quantization Needs Good Distribution
Haibao Yu,
Tuopu Wen,
Guangliang Cheng,
Jiankai Sun,
Qi Han,
Jianping Shi
[pdf]
[bibtex]
@InProceedings{Yu_2020_CVPR_Workshops,
author = {Yu, Haibao and Wen, Tuopu and Cheng, Guangliang and Sun, Jiankai and Han, Qi and Shi, Jianping},
title = {Low-Bit Quantization Needs Good Distribution},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Attentive Semantic Preservation Network for Zero-Shot Learning
Ziqian Lu,
Yunlong Yu,
Zhe-Ming Lu,
Feng-Li Shen,
Zhongfei Zhang
[pdf]
[bibtex]
@InProceedings{Lu_2020_CVPR_Workshops,
author = {Lu, Ziqian and Yu, Yunlong and Lu, Zhe-Ming and Shen, Feng-Li and Zhang, Zhongfei},
title = {Attentive Semantic Preservation Network for Zero-Shot Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Mimic the Raw Domain: Accelerating Action Recognition in the Compressed Domain
Barak Battash,
Haim Barad,
Hanlin Tang,
Amit Bleiweiss
[pdf]
[bibtex]
@InProceedings{Battash_2020_CVPR_Workshops,
author = {Battash, Barak and Barad, Haim and Tang, Hanlin and Bleiweiss, Amit},
title = {Mimic the Raw Domain: Accelerating Action Recognition in the Compressed Domain},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Constraint-Aware Importance Estimation for Global Filter Pruning Under Multiple Resource Constraints
Yu-Cheng Wu,
Chih-Ting Liu,
Bo-Ying Chen,
Shao-Yi Chien
[pdf]
[bibtex]
@InProceedings{Wu_2020_CVPR_Workshops,
author = {Wu, Yu-Cheng and Liu, Chih-Ting and Chen, Bo-Ying and Chien, Shao-Yi},
title = {Constraint-Aware Importance Estimation for Global Filter Pruning Under Multiple Resource Constraints},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

FoNet: A Memory-Efficient Fourier-Based Orthogonal Network for Object Recognition
Feng Wei,
Uyen Trang Nguyen,
Hui Jiang
[pdf]
[bibtex]
@InProceedings{Wei_2020_CVPR_Workshops,
author = {Wei, Feng and Nguyen, Uyen Trang and Jiang, Hui},
title = {FoNet: A Memory-Efficient Fourier-Based Orthogonal Network for Object Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Computer-Aided Diagnosis System of Lung Carcinoma Using Convolutional Neural Networks
Fangjian Han,
Li Yu,
Yi Jiang
[pdf]
[bibtex]
@InProceedings{Han_2020_CVPR_Workshops,
author = {Han, Fangjian and Yu, Li and Jiang, Yi},
title = {Computer-Aided Diagnosis System of Lung Carcinoma Using Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Fast Hardware-Aware Neural Architecture Search
Li Lyna Zhang,
Yuqing Yang,
Yuhang Jiang,
Wenwu Zhu,
Yunxin Liu
[pdf]
[bibtex]
@InProceedings{Zhang_2020_CVPR_Workshops,
author = {Zhang, Li Lyna and Yang, Yuqing and Jiang, Yuhang and Zhu, Wenwu and Liu, Yunxin},
title = {Fast Hardware-Aware Neural Architecture Search},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Learning Sparse Neural Networks Through Mixture-Distributed Regularization
Chang-Ti Huang,
Jun-Cheng Chen,
Ja-Ling Wu
[pdf] [supp]
[bibtex]
@InProceedings{Huang_2020_CVPR_Workshops,
author = {Huang, Chang-Ti and Chen, Jun-Cheng and Wu, Ja-Ling},
title = {Learning Sparse Neural Networks Through Mixture-Distributed Regularization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

LSQ+: Improving Low-Bit Quantization Through Learnable Offsets and Better Initialization
Yash Bhalgat,
Jinwon Lee,
Markus Nagel,
Tijmen Blankevoort,
Nojun Kwak
[pdf]
[bibtex]
@InProceedings{Bhalgat_2020_CVPR_Workshops,
author = {Bhalgat, Yash and Lee, Jinwon and Nagel, Markus and Blankevoort, Tijmen and Kwak, Nojun},
title = {LSQ+: Improving Low-Bit Quantization Through Learnable Offsets and Better Initialization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Least Squares Binary Quantization of Neural Networks
Hadi Pouransari,
Zhucheng Tu,
Oncel Tuzel
[pdf]
[bibtex]
@InProceedings{Pouransari_2020_CVPR_Workshops,
author = {Pouransari, Hadi and Tu, Zhucheng and Tuzel, Oncel},
title = {Least Squares Binary Quantization of Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

RefineDetLite: A Lightweight One-Stage Object Detection Framework for CPU-Only Devices
Chen Chen,
Mengyuan Liu,
Xiandong Meng,
Wanpeng Xiao,
Qi Ju
[pdf]
[bibtex]
@InProceedings{Chen_2020_CVPR_Workshops,
author = {Chen, Chen and Liu, Mengyuan and Meng, Xiandong and Xiao, Wanpeng and Ju, Qi},
title = {RefineDetLite: A Lightweight One-Stage Object Detection Framework for CPU-Only Devices},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Randaugment: Practical Automated Data Augmentation With a Reduced Search Space
Ekin D. Cubuk,
Barret Zoph,
Jonathon Shlens,
Quoc V. Le
[pdf] [supp]
[bibtex]
@InProceedings{Cubuk_2020_CVPR_Workshops,
author = {Cubuk, Ekin D. and Zoph, Barret and Shlens, Jonathon and Le, Quoc V.},
title = {Randaugment: Practical Automated Data Augmentation With a Reduced Search Space},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Any-Width Networks
Thanh Vu,
Marc Eder,
True Price,
Jan-Michael Frahm
[pdf]
[bibtex]
@InProceedings{Vu_2020_CVPR_Workshops,
author = {Vu, Thanh and Eder, Marc and Price, True and Frahm, Jan-Michael},
title = {Any-Width Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

AdaMT-Net: An Adaptive Weight Learning Based Multi-Task Learning Model for Scene Understanding
Ankit Jha,
Awanish Kumar,
Biplab Banerjee,
Subhasis Chaudhuri
[pdf]
[bibtex]
@InProceedings{Jha_2020_CVPR_Workshops,
author = {Jha, Ankit and Kumar, Awanish and Banerjee, Biplab and Chaudhuri, Subhasis},
title = {AdaMT-Net: An Adaptive Weight Learning Based Multi-Task Learning Model for Scene Understanding},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Ternary MobileNets via Per-Layer Hybrid Filter Banks
Dibakar Gope,
Jesse Beu,
Urmish Thakker,
Matthew Mattina
[pdf] [supp]
[bibtex]
@InProceedings{Gope_2020_CVPR_Workshops,
author = {Gope, Dibakar and Beu, Jesse and Thakker, Urmish and Mattina, Matthew},
title = {Ternary MobileNets via Per-Layer Hybrid Filter Banks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Data-Free Network Quantization With Adversarial Knowledge Distillation
Yoojin Choi,
Jihwan Choi,
Mostafa El-Khamy,
Jungwon Lee
[pdf]
[bibtex]
@InProceedings{Choi_2020_CVPR_Workshops,
author = {Choi, Yoojin and Choi, Jihwan and El-Khamy, Mostafa and Lee, Jungwon},
title = {Data-Free Network Quantization With Adversarial Knowledge Distillation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Now That I Can See, I Can Improve: Enabling Data-Driven Finetuning of CNNs on the Edge
Aditya Rajagopal,
Christos-Savvas Bouganis
[pdf]
[bibtex]
@InProceedings{Rajagopal_2020_CVPR_Workshops,
author = {Rajagopal, Aditya and Bouganis, Christos-Savvas},
title = {Now That I Can See, I Can Improve: Enabling Data-Driven Finetuning of CNNs on the Edge},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Structured Weight Unification and Encoding for Neural Network Compression and Acceleration
Wei Jiang,
Wei Wang,
Shan Liu
[pdf]
[bibtex]
@InProceedings{Jiang_2020_CVPR_Workshops,
author = {Jiang, Wei and Wang, Wei and Liu, Shan},
title = {Structured Weight Unification and Encoding for Neural Network Compression and Acceleration},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Neural Network Compression Using Higher-Order Statistics and Auxiliary Reconstruction Losses
Christos Chatzikonstantinou,
Georgios Th. Papadopoulos,
Kosmas Dimitropoulos,
Petros Daras
[pdf]
[bibtex]
@InProceedings{Chatzikonstantinou_2020_CVPR_Workshops,
author = {Chatzikonstantinou, Christos and Papadopoulos, Georgios Th. and Dimitropoulos, Kosmas and Daras, Petros},
title = {Neural Network Compression Using Higher-Order Statistics and Auxiliary Reconstruction Losses},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Monte Carlo Gradient Quantization
Goncalo Mordido,
Matthijs Van Keirsbilck,
Alexander Keller
[pdf]
[bibtex]
@InProceedings{Mordido_2020_CVPR_Workshops,
author = {Mordido, Goncalo and Van Keirsbilck, Matthijs and Keller, Alexander},
title = {Monte Carlo Gradient Quantization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Dithered Backprop: A Sparse and Quantized Backpropagation Algorithm for More Efficient Deep Neural Network Training
Simon Wiedemann,
Temesgen Mehari,
Kevin Kepp,
Wojciech Samek
[pdf] [supp]
[bibtex]
@InProceedings{Wiedemann_2020_CVPR_Workshops,
author = {Wiedemann, Simon and Mehari, Temesgen and Kepp, Kevin and Samek, Wojciech},
title = {Dithered Backprop: A Sparse and Quantized Backpropagation Algorithm for More Efficient Deep Neural Network Training},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Learning Sparse & Ternary Neural Networks With Entropy-Constrained Trained Ternarization (EC2T)
Arturo Marban,
Daniel Becking,
Simon Wiedemann,
Wojciech Samek
[pdf] [supp]
[bibtex]
@InProceedings{Marban_2020_CVPR_Workshops,
author = {Marban, Arturo and Becking, Daniel and Wiedemann, Simon and Samek, Wojciech},
title = {Learning Sparse & Ternary Neural Networks With Entropy-Constrained Trained Ternarization (EC2T)},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Intelligent Scene Caching to Improve Accuracy for Energy-Constrained Embedded Vision
Benjamin Simpson,
Ekdeep Lubana,
Yuchen Liu,
Robert Dick
[pdf]
[bibtex]
@InProceedings{Simpson_2020_CVPR_Workshops,
author = {Simpson, Benjamin and Lubana, Ekdeep and Liu, Yuchen and Dick, Robert},
title = {Intelligent Scene Caching to Improve Accuracy for Energy-Constrained Embedded Vision},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Adaptive Posit: Parameter Aware Numerical Format for Deep Learning Inference on the Edge
Hamed F. Langroudi,
Vedant Karia,
John L. Gustafson,
Dhireesha Kudithipudi
[pdf]
[bibtex]
@InProceedings{Langroudi_2020_CVPR_Workshops,
author = {Langroudi, Hamed F. and Karia, Vedant and Gustafson, John L. and Kudithipudi, Dhireesha},
title = {Adaptive Posit: Parameter Aware Numerical Format for Deep Learning Inference on the Edge},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}