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Data-Efficient Image Recognition with Contrastive Predictive Coding

Data-Efficient Image Recognition with Contrastive Predictive Coding

22 May 2019
Olivier J. Hénaff
A. Srinivas
J. Fauw
Ali Razavi
Carl Doersch
S. M. Ali Eslami
Aaron van den Oord
    SSL
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Papers citing "Data-Efficient Image Recognition with Contrastive Predictive Coding"

50 / 604 papers shown
Title
Label-independent hyperparameter-free self-supervised single-view deep subspace clustering
Label-independent hyperparameter-free self-supervised single-view deep subspace clustering
Lovro Sindicic
Ivica Kopriva
34
0
0
25 Apr 2025
Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving
Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving
Shumin Wang
Zhuoran Yang
L. Wang
Zhipeng Tang
Heng Li
Lehan Pan
Sha Zhang
Jie Peng
J. Ji
Y. Zhang
3DPC
46
0
0
17 Apr 2025
FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations
FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations
Cheng-Yu Hsieh
Pavan Kumar Anasosalu Vasu
Fartash Faghri
Raviteja Vemulapalli
Chun-Liang Li
Ranjay Krishna
Oncel Tuzel
Hadi Pouransari
VLM
143
0
0
11 Apr 2025
ADA-Net: Attention-Guided Domain Adaptation Network with Contrastive Learning for Standing Dead Tree Segmentation Using Aerial Imagery
ADA-Net: Attention-Guided Domain Adaptation Network with Contrastive Learning for Standing Dead Tree Segmentation Using Aerial Imagery
Mete Ahishali
Anis Ur Rahman
Einari Heinaro
Samuli Junttila
32
0
0
05 Apr 2025
Utilization of Neighbor Information for Image Classification with Different Levels of Supervision
Utilization of Neighbor Information for Image Classification with Different Levels of Supervision
Gihan Jayatilaka
Abhinav Shrivastava
M. Gwilliam
64
0
0
18 Mar 2025
Random Walks in Self-supervised Learning for Triangular Meshes
Gal Yefet
A. Tal
SSL
62
0
0
02 Mar 2025
Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder
Yuhan Zhang
Guoqing Ma
Guangfu Hao
Liangxuan Guo
Yang Chen
S. Yu
OnRL
74
0
0
08 Feb 2025
Disentangling CLIP for Multi-Object Perception
Disentangling CLIP for Multi-Object Perception
Samyak Rawelekar
Yujun Cai
Yiwei Wang
Ming-Hsuan Yang
N. Ahuja
VLM
CoGe
72
0
0
05 Feb 2025
Multi-level Supervised Contrastive Learning
Multi-level Supervised Contrastive Learning
Naghmeh Ghanooni
Barbod Pajoum
Harshit Rawal
Sophie Fellenz
Vo Nguyen Le Duy
Marius Kloft
86
0
0
04 Feb 2025
Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning
Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning
Liam Chalcroft
Jenny Crinion
Cathy J. Price
John Ashburner
127
0
0
21 Jan 2025
Scaling 4D Representations
Scaling 4D Representations
João Carreira
Dilara Gokay
Michael King
Chuhan Zhang
Ignacio Rocco
...
Viorica Patraucean
Dima Damen
Pauline Luc
Mehdi S. M. Sajjadi
Andrew Zisserman
80
3
0
19 Dec 2024
Learning Structured Representations with Hyperbolic Embeddings
Learning Structured Representations with Hyperbolic Embeddings
Aditya Sinha
Siqi Zeng
M. Yamada
Han Zhao
76
0
0
02 Dec 2024
Rethinking Generalizability and Discriminability of Self-Supervised
  Learning from Evolutionary Game Theory Perspective
Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective
Jiangmeng Li
Zehua Zang
Qirui Ji
Chuxiong Sun
Wenwen Qiang
Junge Zhang
Changwen Zheng
Fuchun Sun
Hui Xiong
SSL
69
0
0
30 Nov 2024
Underwater Image Enhancement with Cascaded Contrastive Learning
Underwater Image Enhancement with Cascaded Contrastive Learning
Yi Liu
Qiuping Jiang
X. Wang
Ting Luo
Jingchun Zhou
22
2
0
16 Nov 2024
An Individual Identity-Driven Framework for Animal Re-Identification
An Individual Identity-Driven Framework for Animal Re-Identification
Yihao Wu
Di Zhao
Jingfeng Zhang
Yun Sing Koh
33
0
0
30 Oct 2024
Robots Pre-train Robots: Manipulation-Centric Robotic Representation
  from Large-Scale Robot Datasets
Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets
Guangqi Jiang
Yifei Sun
Tao Huang
Huanyu Li
Yongyuan Liang
Huazhe Xu
25
3
0
29 Oct 2024
Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence
  Embeddings for Automatic Dialog Flow Extraction
Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction
Sergio Burdisso
S. Madikeri
P. Motlícek
32
1
0
24 Oct 2024
Self-supervised contrastive learning performs non-linear system
  identification
Self-supervised contrastive learning performs non-linear system identification
Rodrigo González Laiz
Tobias Schmidt
Steffen Schneider
SSL
37
0
0
18 Oct 2024
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities
Shaozhe Hao
Xuantong Liu
Xianbiao Qi
Shihao Zhao
Bojia Zi
Rong Xiao
Kai Han
Kwan-Yee K. Wong
45
3
0
18 Oct 2024
FLIER: Few-shot Language Image Models Embedded with Latent
  Representations
FLIER: Few-shot Language Image Models Embedded with Latent Representations
Zhinuo Zhou
Peng Zhou
Xiaoyong Pan
VLM
26
0
0
10 Oct 2024
Contrastive Abstraction for Reinforcement Learning
Contrastive Abstraction for Reinforcement Learning
Vihang Patil
M. Hofmarcher
Elisabeth Rumetshofer
Sepp Hochreiter
OffRL
SSL
24
2
0
01 Oct 2024
Data-free Distillation with Degradation-prompt Diffusion for
  Multi-weather Image Restoration
Data-free Distillation with Degradation-prompt Diffusion for Multi-weather Image Restoration
Pei Wang
Xiaotong Luo
Yuan Xie
Yanyun Qu
DiffM
47
1
0
05 Sep 2024
Enhancing Sound Source Localization via False Negative Elimination
Enhancing Sound Source Localization via False Negative Elimination
Zengjie Song
Jiangshe Zhang
Yuxi Wang
Junsong Fan
Zhaoxiang Zhang
35
0
0
29 Aug 2024
Unsupervised-to-Online Reinforcement Learning
Unsupervised-to-Online Reinforcement Learning
Junsu Kim
Seohong Park
Sergey Levine
OnRL
48
3
0
27 Aug 2024
Extremely Fine-Grained Visual Classification over Resembling Glyphs in
  the Wild
Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild
F. Bougourzi
Fadi Dornaika
Chongsheng Zhang
32
0
0
25 Aug 2024
Smooth InfoMax -- Towards easier Post-Hoc interpretability
Smooth InfoMax -- Towards easier Post-Hoc interpretability
Fabian Denoodt
Bart de Boer
José Oramas
21
2
0
23 Aug 2024
Unsupervised Representation Learning by Balanced Self Attention Matching
Unsupervised Representation Learning by Balanced Self Attention Matching
Daniel Shalam
Simon Korman
SSL
33
0
0
04 Aug 2024
Trajectory-aligned Space-time Tokens for Few-shot Action Recognition
Trajectory-aligned Space-time Tokens for Few-shot Action Recognition
Pulkit Kumar
Namitha Padmanabhan
Luke Luo
Sai Saketh Rambhatla
Abhinav Shrivastava
32
4
0
25 Jul 2024
ETSCL: An Evidence Theory-Based Supervised Contrastive Learning
  Framework for Multi-modal Glaucoma Grading
ETSCL: An Evidence Theory-Based Supervised Contrastive Learning Framework for Multi-modal Glaucoma Grading
Zhiyuan Yang
Bo Zhang
Yufei Shi
Ningze Zhong
Johnathan Loh
Huihui Fang
Yanwu Xu
Si Yong Yeo
25
0
0
19 Jul 2024
The Hidden Pitfalls of the Cosine Similarity Loss
The Hidden Pitfalls of the Cosine Similarity Loss
Andrew Draganov
Sharvaree P. Vadgama
Erik J. Bekkers
SSL
29
0
0
24 Jun 2024
You can't handle the (dirty) truth: Data-centric insights improve
  pseudo-labeling
You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling
Nabeel Seedat
Nicolas Huynh
F. Imrie
Mihaela van der Schaar
38
0
0
19 Jun 2024
Causal Contrastive Learning for Counterfactual Regression Over Time
Causal Contrastive Learning for Counterfactual Regression Over Time
Mouad El Bouchattaoui
Myriam Tami
Benoit Lepetit
P. Cournède
CML
AI4TS
38
2
0
01 Jun 2024
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based
  Approach
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach
Huy V. Vo
Vasil Khalidov
Timothée Darcet
Théo Moutakanni
Nikita Smetanin
...
Maxime Oquab
Armand Joulin
Hervé Jégou
Patrick Labatut
Piotr Bojanowski
SSL
53
18
0
24 May 2024
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
Satoki Ishikawa
Makoto Yamada
Han Bao
Yuki Takezawa
64
0
0
23 May 2024
Learning Future Representation with Synthetic Observations for
  Sample-efficient Reinforcement Learning
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning
Xin Liu
Yaran Chen
Dong Zhao
35
1
0
20 May 2024
Nonparametric Teaching of Implicit Neural Representations
Nonparametric Teaching of Implicit Neural Representations
Chen Zhang
Steven Tin Sui Luo
Jason Chun Lok Li
Yik-Chung Wu
Ngai Wong
38
2
0
17 May 2024
AdaKD: Dynamic Knowledge Distillation of ASR models using Adaptive Loss
  Weighting
AdaKD: Dynamic Knowledge Distillation of ASR models using Adaptive Loss Weighting
Shreyan Ganguly
Roshan Nayak
Rakshith Rao
Ujan Deb
AP Prathosh
24
1
0
11 May 2024
Enhancing Weakly Supervised Semantic Segmentation with Multi-modal
  Foundation Models: An End-to-End Approach
Enhancing Weakly Supervised Semantic Segmentation with Multi-modal Foundation Models: An End-to-End Approach
Elham Ravanbakhsh
Cheng Niu
Yongqing Liang
J. Ramanujam
Xin Li
VLM
52
0
0
10 May 2024
A Review on Discriminative Self-supervised Learning Methods in Computer Vision
A Review on Discriminative Self-supervised Learning Methods in Computer Vision
Nikolaos Giakoumoglou
Tania Stathaki
Athanasios Gkelias
SSL
49
1
0
08 May 2024
CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding
CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding
Kaiyuan Chen
Xingzhuo Guo
Yu Zhang
Jianmin Wang
Mingsheng Long
DiffM
35
1
0
03 May 2024
On Improving the Algorithm-, Model-, and Data- Efficiency of
  Self-Supervised Learning
On Improving the Algorithm-, Model-, and Data- Efficiency of Self-Supervised Learning
Yunhao Cao
Jianxin Wu
35
0
0
30 Apr 2024
ConPro: Learning Severity Representation for Medical Images using
  Contrastive Learning and Preference Optimization
ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization
Hong Nguyen
H. Nguyen
Melinda Y. Chang
Hieu H. Pham
Shrikanth Narayanan
Michael Pazzani
19
0
0
29 Apr 2024
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for
  Continual Learning
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning
Prashant Bhat
Bharath Renjith
Elahe Arani
Bahram Zonooz
CLL
40
2
0
28 Apr 2024
Making Better Use of Unlabelled Data in Bayesian Active Learning
Making Better Use of Unlabelled Data in Bayesian Active Learning
Freddie Bickford-Smith
Adam Foster
Tom Rainforth
31
3
0
26 Apr 2024
Towards noise contrastive estimation with soft targets for conditional
  models
Towards noise contrastive estimation with soft targets for conditional models
J. Hugger
Virginie Uhlmann
UQCV
31
1
0
22 Apr 2024
OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining
  BEV Segmentation Networks
OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks
Sophia Sirko-Galouchenko
Alexandre Boulch
Spyros Gidaris
Andrei Bursuc
Antonín Vobecký
Patrick Pérez
Renaud Marlet
3DPC
30
7
0
22 Apr 2024
CKD: Contrastive Knowledge Distillation from A Sample-wise Perspective
CKD: Contrastive Knowledge Distillation from A Sample-wise Perspective
Wencheng Zhu
Xin Zhou
Pengfei Zhu
Yu Wang
Qinghua Hu
VLM
56
1
0
22 Apr 2024
ToNNO: Tomographic Reconstruction of a Neural Network's Output for
  Weakly Supervised Segmentation of 3D Medical Images
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images
Marius Schmidt-Mengin
Alexis Benichoux
S. Belachew
N. Komodakis
Nikos Paragios
MedIm
24
1
0
19 Apr 2024
PIE: Physics-inspired Low-light Enhancement
PIE: Physics-inspired Low-light Enhancement
Dong Liang
Zhengyan Xu
Ling Li
Mingqiang Wei
Songcan Chen
SSL
40
6
0
06 Apr 2024
Representation Alignment Contrastive Regularization for Multi-Object
  Tracking
Representation Alignment Contrastive Regularization for Multi-Object Tracking
Zhonglin Liu
Shujie Chen
Jianfeng Dong
Xun Wang
Di Zhou
VOT
24
1
0
03 Apr 2024
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