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S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural
  Networks via Guided Distribution Calibration
v1v2 (latest)

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

Computer Vision and Pattern Recognition (CVPR), 2021
17 February 2021
Zhiqiang Shen
Zechun Liu
Jie Qin
Lei Huang
Kwang-Ting Cheng
Marios Savvides
    UQCVSSLMQ
ArXiv (abs)PDFHTMLGithub (64★)

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

16 / 16 papers shown
Towards Experience Replay for Class-Incremental Learning in Fully-Binary Networks
Towards Experience Replay for Class-Incremental Learning in Fully-Binary Networks
Yanis Basso-Bert
Anca Molnos
Romain Lemaire
William Guicquero
Antoine Dupret
CLL
418
0
0
10 Mar 2025
Local-to-Global Self-Supervised Representation Learning for Diabetic
  Retinopathy Grading
Local-to-Global Self-Supervised Representation Learning for Diabetic Retinopathy Grading
Mostafa Hajighasemloua
Samad Sheikhaei
Hamid Soltanian-Zadeha
264
0
0
01 Oct 2024
Unsqueeze [CLS] Bottleneck to Learn Rich Representations
Unsqueeze [CLS] Bottleneck to Learn Rich Representations
Qing Su
Shihao Ji
346
0
0
24 Jul 2024
Long-Tailed Recognition on Binary Networks by Calibrating A Pre-trained
  Model
Long-Tailed Recognition on Binary Networks by Calibrating A Pre-trained Model
Jihun Kim
Dahyun Kim
Hyungrok Jung
Taeil Oh
Jonghyun Choi
MQ
407
0
0
30 Mar 2024
BiBench: Benchmarking and Analyzing Network Binarization
BiBench: Benchmarking and Analyzing Network BinarizationInternational Conference on Machine Learning (ICML), 2023
Haotong Qin
Mingyuan Zhang
Yifu Ding
Aoyu Li
Zhongang Cai
Ziwei Liu
Feng Yu
Xianglong Liu
MQAAML
399
53
0
26 Jan 2023
Exploring Effective Knowledge Transfer for Few-shot Object Detection
Exploring Effective Knowledge Transfer for Few-shot Object DetectionACM Multimedia (ACM MM), 2022
Zhiyuan Zhao
Qingjie Liu
Yunhong Wang
482
13
0
05 Oct 2022
Synergistic Self-supervised and Quantization Learning
Synergistic Self-supervised and Quantization LearningEuropean Conference on Computer Vision (ECCV), 2022
Yunhao Cao
Peiqin Sun
Yechang Huang
Jianxin Wu
Shuchang Zhou
MQ
227
16
0
12 Jul 2022
Block Walsh-Hadamard Transform Based Binary Layers in Deep Neural
  Networks
Block Walsh-Hadamard Transform Based Binary Layers in Deep Neural NetworksACM Transactions on Embedded Computing Systems (TECS), 2022
Hongyi Pan
Diaa Badawi
Ahmet Enis Cetin
350
27
0
07 Jan 2022
A Fast Knowledge Distillation Framework for Visual Recognition
A Fast Knowledge Distillation Framework for Visual Recognition
Zhiqiang Shen
Eric P. Xing
VLM
241
63
0
02 Dec 2021
Unsupervised Representation Learning for Binary Networks by Joint
  Classifier Learning
Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning
Dahyun Kim
Jonghyun Choi
SSLMQ
433
5
0
17 Oct 2021
A comprehensive review of Binary Neural Network
A comprehensive review of Binary Neural NetworkArtificial Intelligence Review (AIR), 2021
Chunyu Yuan
S. Agaian
MQ
454
144
0
11 Oct 2021
How Do Adam and Training Strategies Help BNNs Optimization?
How Do Adam and Training Strategies Help BNNs Optimization?International Conference on Machine Learning (ICML), 2021
Zechun Liu
Zhiqiang Shen
Shichao Li
K. Helwegen
Dong Huang
Kwang-Ting Cheng
ODLMQ
313
100
0
21 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision TransformersIEEE International Conference on Computer Vision (ICCV), 2021
Mathilde Caron
Hugo Touvron
Ishan Misra
Edouard Grave
Julien Mairal
Piotr Bojanowski
Armand Joulin
2.3K
8,770
0
29 Apr 2021
Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary
  Layers in Deep Neural Networks
Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks
Hongyi Pan
Diaa Badawi
Ahmet Enis Cetin
434
28
0
14 Apr 2021
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
1.5K
4,857
0
17 Jun 2020
ReActNet: Towards Precise Binary Neural Network with Generalized
  Activation Functions
ReActNet: Towards Precise Binary Neural Network with Generalized Activation FunctionsEuropean Conference on Computer Vision (ECCV), 2020
Zechun Liu
Zhiqiang Shen
Marios Savvides
Kwang-Ting Cheng
MQ
681
416
0
07 Mar 2020
1
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