Barlow Twins: Self-Supervised Learning via Redundancy Reduction

4 March 2021

Papers citing "Barlow Twins: Self-Supervised Learning via Redundancy Reduction"

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Title
Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework Chenxin Tao Honghui Wang Xizhou Zhu Jiahua Dong S. Song Gao Huang Jifeng Dai SSL 33 60 0 09 Dec 2021
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning Yujun Shi Kuangqi Zhou Jian Liang Zihang Jiang Jiashi Feng Philip H. S. Torr Song Bai Vincent Y. F. Tan CLL 26 62 0 09 Dec 2021
Self-Supervised Models are Continual Learners Enrico Fini Victor G. Turrisi da Costa Xavier Alameda-Pineda Elisa Ricci Alahari Karteek Julien Mairal BDL CLL SSL 33 157 0 08 Dec 2021
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models Narinder Singh Punn Sonali Agarwal SSL 30 35 0 07 Dec 2021
Which images to label for few-shot medical landmark detection? Quan Quan Qingsong Yao Jun Li S. Kevin Zhou 29 24 0 07 Dec 2021
Joint Learning of Localized Representations from Medical Images and Reports Philipp Muller Georgios Kaissis Cong Zou Daniel Munich 132 81 0 06 Dec 2021
Augmentation-Free Self-Supervised Learning on Graphs Namkyeong Lee Junseok Lee Chanyoung Park 62 203 0 05 Dec 2021
Unsupervised Domain Generalization by Learning a Bridge Across Domains Sivan Harary Eli Schwartz Assaf Arbelle Peter W. J. Staar Shady Abu Hussein ... Hildegard Kuehne Dina Katabi Kate Saenko Rogerio Feris Leonid Karlinsky OOD 19 40 0 04 Dec 2021
Transferring Unconditional to Conditional GANs with Hyper-Modulation Héctor Laria Yaxing Wang Joost van de Weijer Bogdan Raducanu GAN 24 3 0 04 Dec 2021
BEVT: BERT Pretraining of Video Transformers Rui Wang Dongdong Chen Zuxuan Wu Yinpeng Chen Xiyang Dai Mengchen Liu Yu-Gang Jiang Luowei Zhou Lu Yuan ViT 36 203 0 02 Dec 2021
Vision Pair Learning: An Efficient Training Framework for Image Classification Bei Tong Xiaoyuan Yu ViT 17 0 0 02 Dec 2021
Revisiting the Transferability of Supervised Pretraining: an MLP Perspective Yizhou Wang Shixiang Tang Feng Zhu Lei Bai Rui Zhao Donglian Qi Wanli Ouyang 21 51 0 01 Dec 2021
Information Theoretic Representation Distillation Roy Miles Adrian Lopez-Rodriguez K. Mikolajczyk MQ 13 21 0 01 Dec 2021
Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup Siyuan Li Zicheng Liu Zedong Wang Di Wu Zihan Liu Stan Z. Li 35 26 0 30 Nov 2021
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning Sara Atito Muhammad Awais Ammarah Farooq Zhenhua Feng J. Kittler 17 17 0 30 Nov 2021
Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning J. Denize Jaonary Rabarisoa Astrid Orcesi Romain Hérault S. Canu SSL 19 30 0 29 Nov 2021
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics Aiham Taleb Matthias Kirchler Remo Monti C. Lippert SSL MedIm 28 54 0 26 Nov 2021
Semantic-Aware Generation for Self-Supervised Visual Representation Learning Yunjie Tian Lingxi Xie Xiaopeng Zhang Jiemin Fang Haohang Xu Wei Huang Jianbin Jiao Qi Tian QiXiang Ye SSL GAN 31 16 0 25 Nov 2021
A Softmax-free Loss Function Based on Predefined Optimal-distribution of Latent Features for Deep Learning Classifier Qiuyu Zhu Xuewen Zu 22 5 0 25 Nov 2021
ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment Robin Karlsson Tomoki Hayashi Keisuke Fujii Alexander Carballo Kento Ohtani K. Takeda SSL 39 4 0 24 Nov 2021
MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning Siladittya Manna Umapada Pal Saumik Bhattacharya SSL 35 1 0 24 Nov 2021
Domain-Agnostic Clustering with Self-Distillation Mohammed Adnan Yani Andrew Ioannou Chuan-Yung Tsai Graham W. Taylor FedML SSL OOD 14 2 0 23 Nov 2021
Class-agnostic Object Detection with Multi-modal Transformer Muhammad Maaz H. Rasheed Salman Khan F. Khan Rao Muhammad Anwer Ming Yang 15 91 0 22 Nov 2021
Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks Linus Ericsson H. Gouk Timothy M. Hospedales SSL 16 15 0 22 Nov 2021
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning Yunsung Lee Teakgyu Hong Han-Cheol Cho Junbum Cha Seungryong Kim SSL 12 0 0 21 Nov 2021
Self-Supervised Class Incremental Learning Zixuan Ni Siliang Tang Yueting Zhuang CLL 18 6 0 18 Nov 2021
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning Yaoming Cai Zijia Zhang Y. Liu Pedram Ghamisi Kunping Li Xiaobo Liu Z. Cai 22 16 0 15 Nov 2021
Learning Representations for Pixel-based Control: What Matters and Why? Manan Tomar Utkarsh Aashu Mishra Amy Zhang Matthew E. Taylor SSL OffRL 28 24 0 15 Nov 2021
Bag of Tricks and A Strong baseline for Image Copy Detection Wenhao Wang Weipu Zhang Yifan Sun Yi Yang SSL 6 14 0 13 Nov 2021
D $^2$ LV: A Data-Driven and Local-Verification Approach for Image Copy Detection Wenhao Wang Yifan Sun Weipu Zhang Yi Yang 23 7 0 13 Nov 2021
Dense Unsupervised Learning for Video Segmentation Nikita Araslanov Simone Schaub-Meyer Stefan Roth VOS 24 30 0 11 Nov 2021
A Histopathology Study Comparing Contrastive Semi-Supervised and Fully Supervised Learning Lantian Zhang M. Amgad L. Cooper SSL 21 3 0 10 Nov 2021
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices Puja Trivedi Ekdeep Singh Lubana Yujun Yan Yaoqing Yang Danai Koutra 45 52 0 05 Nov 2021
PatchGame: Learning to Signal Mid-level Patches in Referential Games Kamal Gupta Gowthami Somepalli Anubhav Gupta Vinoj Jayasundara Matthias Zwicker Abhinav Shrivastava 25 3 0 02 Nov 2021
Towards the Generalization of Contrastive Self-Supervised Learning Weiran Huang Mingyang Yi Xuyang Zhao Zihao Jiang SSL 21 105 0 01 Nov 2021
Redundancy Reduction in Semantic Segmentation of 3D Brain Tumor MRIs M. R. Siddiquee Andriy Myronenko 20 17 0 01 Nov 2021
Self-Verification in Image Denoising Huangxing Lin Yihong Zhuang Delu Zeng Yue Huang Xinghao Ding John Paisley DiffM 14 1 0 01 Nov 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding R. A. Khan M. Kleinsteuber SSL 20 3 0 29 Oct 2021
Equivariant Contrastive Learning Rumen Dangovski Li Jing Charlotte Loh Seung-Jun Han Akash Srivastava Brian Cheung Pulkit Agrawal Marin Soljacic 29 77 0 28 Oct 2021
Learning Deep Representation with Energy-Based Self-Expressiveness for Subspace Clustering Yanming Li Changsheng Li Shiye Wang Ye Yuan Guoren Wang SSL 29 0 0 28 Oct 2021
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning Aakash Kaku Sahana Upadhya N. Razavian SSL 21 29 0 27 Oct 2021
GenURL: A General Framework for Unsupervised Representation Learning Siyuan Li Zicheng Liu Z. Zang Di Wu Zhiyuan Chen Stan Z. Li OOD 3DGS OffRL 31 9 0 27 Oct 2021
Robust Contrastive Learning Using Negative Samples with Diminished Semantics Songwei Ge Shlok Kumar Mishra Haohan Wang Chun-Liang Li David Jacobs SSL 16 71 0 27 Oct 2021
Directional Self-supervised Learning for Heavy Image Augmentations Yalong Bai Yifan Yang Wei Zhang Tao Mei 21 20 0 26 Oct 2021
Self-Supervised Visual Representation Learning Using Lightweight Architectures Prathamesh Sonawane Sparsh Drolia Saqib Nizam Shamsi Bhargav Jain SSL 17 1 0 21 Oct 2021
Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles Bram Wallace Devansh Arpit Huan Wang Caiming Xiong SSL OOD 27 0 0 19 Oct 2021
Test time Adaptation through Perturbation Robustness Prabhu Teja Sivaprasad Franccois Fleuret TTA OOD 16 30 0 19 Oct 2021
TLDR: Twin Learning for Dimensionality Reduction Yannis Kalantidis Carlos Lassance Jon Almazán Diane Larlus SSL 16 10 0 18 Oct 2021
Understanding Dimensional Collapse in Contrastive Self-supervised Learning Li Jing Pascal Vincent Yann LeCun Yuandong Tian SSL 25 336 0 18 Oct 2021
Self-Supervised Representation Learning: Introduction, Advances and Challenges Linus Ericsson H. Gouk Chen Change Loy Timothy M. Hospedales SSL OOD AI4TS 29 271 0 18 Oct 2021