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How Do Adam and Training Strategies Help BNNs Optimization?

Jun 21, 2021
Zechun Liu, Zhiqiang Shen, Shichao Li, Koen Helwegen, Dong Huang, Kwang-Ting Cheng

* ICML 2021. Code and models are available at 

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Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study

Apr 01, 2021
Zhiqiang Shen, Zechun Liu, Dejia Xu, Zitian Chen, Kwang-Ting Cheng, Marios Savvides

* ICLR 2021. Project page: 

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S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration

Feb 17, 2021
Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides

* Technical report, 10 pages. Self-supervised binary neural networks using distillation loss (5.5~15% improvement over contrastive baseline) 

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Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning

Feb 08, 2021
Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng

* AAAI 2021. A search based fine-tuning strategy for few-shot learning 

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Exploring Intermediate Representation for Monocular Vehicle Pose Estimation

Nov 17, 2020
Shichao Li, Zengqiang Yan, Hongyang Li, Kwang-Ting Cheng

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Cascaded deep monocular 3D human pose estimation with evolutionary training data

Jun 14, 2020
Shichao Li, Lei Ke, Kevin Pratama, Yu-Wing Tai, Chi-Keung Tang, Kwang-Ting Cheng

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Joint Multi-Dimension Pruning

May 18, 2020
Zechun Liu, Xiangyu Zhang, Zhiqiang Shen, Zhe Li, Yichen Wei, Kwang-Ting Cheng, Jian Sun

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Binarizing MobileNet via Evolution-based Searching

May 15, 2020
Hai Phan, Zechun Liu, Dang Huynh, Marios Savvides, Kwang-Ting Cheng, Zhiqiang Shen

* Accepted by CVPR2020 

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ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions

Mar 07, 2020
Zechun Liu, Zhiqiang Shen, Marios Savvides, Kwang-Ting Cheng

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Facial age estimation by deep residual decision making

Aug 28, 2019
Shichao Li, Kwang-Ting Cheng

* Following-up work for visualizing deep neural decision forest for facial age estimation 

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Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization

Jun 05, 2019
Koen Helwegen, James Widdicombe, Lukas Geiger, Zechun Liu, Kwang-Ting Cheng, Roeland Nusselder

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Visualizing the decision-making process in deep neural decision forest

Apr 19, 2019
Shichao Li, Kwang-Ting Cheng

* Accepted by CVPR 2019 workshops on explainable AI 

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Semi-supervised mp-MRI Data Synthesis with StitchLayer and Auxiliary Distance Maximization

Dec 17, 2018
Zhiwei Wang, Yi Lin, Kwang-Ting Cheng, Xin Yang

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Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance

Nov 04, 2018
Zechun Liu, Wenhan Luo, Baoyuan Wu, Xin Yang, Wei Liu, Kwang-Ting Cheng

* Submitted to IJCV. It is the journal extension of our ECCV paper: arXiv:1808.00278 

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Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm

Sep 29, 2018
Zechun Liu, Baoyuan Wu, Wenhan Luo, Xin Yang, Wei Liu, Kwang-Ting Cheng

* Accepted to European Conference on Computer Vision (ECCV) 2018. Code is available on: 

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