Forward and Backward Information Retention for Accurate Binary Neural Networks

24 September 2019

Xianglong Liu

Jingkuan Song

Papers citing "Forward and Backward Information Retention for Accurate Binary Neural Networks"

46 / 46 papers shown

Title
RGB-Event Fusion with Self-Attention for Collision Prediction Pietro Bonazzi Christian Vogt Michael Jost Haotong Qin Lyes Khacef Federico Paredes-Valles Michele Magno 32 0 0 07 May 2025
10K is Enough: An Ultra-Lightweight Binarized Network for Infrared Small-Target Detection Biqiao Xin Qianchen Mao Bingshu Wang Jiangbin Zheng Yong Zhao C. L. P. Chen MQ 64 0 0 04 Mar 2025
BDC-Occ: Binarized Deep Convolution Unit For Binarized Occupancy Network Zongkai Zhang Zidong Xu Wenming Yang Qingmin Liao Jing-Hao Xue MQ 3DV 46 1 0 27 May 2024
BOLD: Boolean Logic Deep Learning Van Minh Nguyen Cristian Ocampo Aymen Askri Louis Leconte Ba-Hien Tran AI4CE 37 0 0 25 May 2024
Designed Dithering Sign Activation for Binary Neural Networks Brayan Monroy Juan Estupiñán T. Gelvez-Barrera Jorge Bacca Henry Arguello MQ 35 1 0 03 May 2024
Binarized Low-light Raw Video Enhancement Gengchen Zhang Yulun Zhang Xin Yuan Ying Fu MQ 32 3 0 29 Mar 2024
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off Sachit Kuhar Yash Jain Alexey Tumanov MQ 54 0 0 04 Dec 2023
Learning Discrete Weights and Activations Using the Local Reparameterization Trick G. Berger Aviv Navon Ethan Fetaya MQ 22 0 0 04 Jul 2023
Q-YOLO: Efficient Inference for Real-time Object Detection Mingze Wang H. Sun Jun Shi Xuhui Liu Baochang Zhang Xianbin Cao ObjD 28 8 0 01 Jul 2023
Optimizing data-flow in Binary Neural Networks Lorenzo Vorabbi Davide Maltoni Stefano Santi MQ 11 5 0 03 Apr 2023
Hard Sample Matters a Lot in Zero-Shot Quantization Huantong Li Xiangmiao Wu Fanbing Lv Daihai Liao Thomas H. Li Yonggang Zhang Bo Han Mingkui Tan MQ 24 20 0 24 Mar 2023
Learning Discretized Neural Networks under Ricci Flow Jun Chen Han Chen Mengmeng Wang Guang Dai Ivor W. Tsang Y. Liu 17 2 0 07 Feb 2023
BiBench: Benchmarking and Analyzing Network Binarization Haotong Qin Mingyuan Zhang Yifu Ding Aoyu Li Zhongang Cai Ziwei Liu F. I. F. Richard Yu Xianglong Liu MQ AAML 29 36 0 26 Jan 2023
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs A. M. Ribeiro-dos-Santos João Dinis Ferreira O. Mutlu G. Falcão MQ 15 1 0 15 Jan 2023
Model and Data Agreement for Learning with Noisy Labels Yuhang Zhang Weihong Deng Xingchen Cui Yunfeng Yin Hongzhi Shi Dongchao Wen NoLa 24 5 0 02 Dec 2022
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion Zixiang Zhao Hao Bai Jiangshe Zhang Yulun Zhang Shuang Xu Zudi Lin Radu Timofte Luc Van Gool 29 309 0 26 Nov 2022
Signed Binary Weight Networks Sachit Kuhar Alexey Tumanov Judy Hoffman MQ 13 1 0 25 Nov 2022
Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket Nianhui Guo Joseph Bethge Christoph Meinel Haojin Yang MQ 28 19 0 23 Nov 2022
BiViT: Extremely Compressed Binary Vision Transformer Yefei He Zhenyu Lou Luoming Zhang Jing Liu Weijia Wu Hong Zhou Bohan Zhuang ViT MQ 18 28 0 14 Nov 2022
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance Haotong Qin Xudong Ma Yifu Ding X. Li Yang Zhang Zejun Ma Jiakai Wang Jie Luo Xianglong Liu MQ 40 20 0 13 Nov 2022
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning Udbhav Bamba Neeraj Anand Saksham Aggarwal Dilip K Prasad D. K. Gupta MQ 8 0 0 12 Nov 2022
LAB: Learnable Activation Binarizer for Binary Neural Networks Sieger Falkena Hadi Jamali Rad J. C. V. Gemert MQ 26 3 0 25 Oct 2022
Deep learning model compression using network sensitivity and gradients M. Sakthi N. Yadla Raj Pawate 19 2 0 11 Oct 2022
Convolutional Neural Networks Quantization with Attention Binyi Wu Bernd Waschneck Christian Mayr MQ 16 1 0 30 Sep 2022
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets Zhaopeng Tu Xinghao Chen Pengju Ren Yunhe Wang MQ 36 54 0 17 Aug 2022
PECAN: A Product-Quantized Content Addressable Memory Network Jie Ran R. Lin Jason Chun Lok Li Jiajun Zhou Ngai Wong MQ 46 7 0 13 Aug 2022
Lipschitz Continuity Retained Binary Neural Network Yuzhang Shang Dan Xu Bin Duan Ziliang Zong Liqiang Nie Yan Yan 13 19 0 13 Jul 2022
HyBNN and FedHyBNN: (Federated) Hybrid Binary Neural Networks Kinshuk Dua FedML MQ 21 0 0 19 May 2022
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization Xiuying Wei Ruihao Gong Yuhang Li Xianglong Liu F. Yu MQ VLM 19 166 0 11 Mar 2022
Binary Neural Networks as a general-propose compute paradigm for on-device computer vision Guhong Nie Lirui Xiao Menglong Zhu Dongliang Chu Yue-Hong Shen Peng Li Kan Yang Li Du Bo Chen Dji Innovations Inc MQ 31 5 0 08 Feb 2022
PokeBNN: A Binary Pursuit of Lightweight Accuracy Yichi Zhang Zhiru Zhang Lukasz Lew MQ 33 57 0 30 Nov 2021
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization Yunshan Zhong Mingbao Lin Gongrui Nan Jianzhuang Liu Baochang Zhang Yonghong Tian Rongrong Ji MQ 38 71 0 17 Nov 2021
Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks Yikai Wang Yi Yang Fuchun Sun Anbang Yao MQ 23 15 0 18 Oct 2021
BNAS v2: Learning Architectures for Binary Networks with Empirical Improvements Dahyun Kim Kunal Pratap Singh Jonghyun Choi MQ 43 7 0 16 Oct 2021
CBP: Backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method Guhyun Kim D. Jeong MQ 36 2 0 06 Oct 2021
How Do Adam and Training Strategies Help BNNs Optimization? Zechun Liu Zhiqiang Shen Shichao Li K. Helwegen Dong Huang Kwang-Ting Cheng ODL MQ 22 82 0 21 Jun 2021
Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer Phuoc Pham J. Abraham Jaeyong Chung MQ 33 11 0 01 Apr 2021
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network James Diffenderfer B. Kailkhura MQ 28 75 0 17 Mar 2021
Multi-Pretext Attention Network for Few-shot Learning with Self-supervision Hainan Li Renshuai Tao Jun Li Haotong Qin Yifu Ding Shuo Wang Xianglong Liu SSL 27 8 0 10 Mar 2021
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World Jiakai Wang Aishan Liu Zixin Yin Shunchang Liu Shiyu Tang Xianglong Liu AAML 135 194 0 01 Mar 2021
Diversifying Sample Generation for Accurate Data-Free Quantization Xiangguo Zhang Haotong Qin Yifu Ding Ruihao Gong Qing Yan Renshuai Tao Yuhang Li F. Yu Xianglong Liu MQ 54 94 0 01 Mar 2021
Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images Renshuai Tao Yanlu Wei Hainan Li Aishan Liu Yifu Ding Haotong Qin Xianglong Liu 20 18 0 01 Mar 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 124 673 0 24 Jan 2021
Training Binary Neural Networks through Learning with Noisy Supervision Kai Han Yunhe Wang Yixing Xu Chunjing Xu Enhua Wu Chang Xu MQ 8 55 0 10 Oct 2020
High-Capacity Expert Binary Networks Adrian Bulat Brais Martínez Georgios Tzimiropoulos MQ 24 57 0 07 Oct 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 50 457 0 31 Mar 2020