MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning

30 November 2021

Papers citing "MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning"

48 / 48 papers shown

Title
iBOT: Image BERT Pre-Training with Online Tokenizer Jinghao Zhou Chen Wei Huiyu Wang Wei Shen Cihang Xie Alan Yuille Tao Kong 81 735 0 15 Nov 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 460 7,757 0 11 Nov 2021
Query2Label: A Simple Transformer Way to Multi-Label Classification Shilong Liu Lei Zhang Xiao Yang Hang Su Jun Zhu 62 192 0 22 Jul 2021
BEiT: BERT Pre-Training of Image Transformers Hangbo Bao Li Dong Songhao Piao Furu Wei ViT 274 2,826 0 15 Jun 2021
MlTr: Multi-label Classification with Transformer Xingyi Cheng Hezheng Lin Xiangyu Wu Fan Yang Dong Shen Zhongyuan Wang Nian Shi Honglin Liu ViT 51 49 0 11 Jun 2021
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning Adrien Bardes Jean Ponce Yann LeCun SSL DML 153 933 0 11 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 685 6,079 0 29 Apr 2021
SiT: Self-supervised vIsion Transformer Sara Atito Ali Ahmed Muhammad Awais J. Kittler ViT 73 139 0 08 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers Xinlei Chen Saining Xie Kaiming He ViT 154 1,864 0 05 Apr 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 307 2,347 0 04 Mar 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 400 4,953 0 24 Feb 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 384 6,768 0 23 Dec 2020
General Multi-label Image Classification with Transformers Jack Lanchantin Tianlu Wang Vicente Ordonez Yanjun Qi ViT 60 266 0 27 Nov 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 253 4,054 0 20 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 654 41,103 0 22 Oct 2020
Asymmetric Loss For Multi-Label Classification Emanuel Ben-Baruch T. Ridnik Nadav Zamir Asaf Noy Itamar Friedman M. Protter Lihi Zelnik-Manor 86 540 0 29 Sep 2020
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition Tianshui Chen Liang Lin Riquan Chen X. Hui Hefeng Wu 84 155 0 20 Sep 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 233 4,083 0 17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 371 6,806 0 13 Jun 2020
Self-Supervised Relational Reasoning for Representation Learning Massimiliano Patacchiola Amos Storkey OOD SSL 53 63 0 10 Jun 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 369 18,778 0 13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 201 12,085 0 13 Nov 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 232 3,490 0 30 Sep 2019
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Tianshui Chen Muxi Xu X. Hui Hefeng Wu Liang Lin 78 289 0 20 Aug 2019
Large Scale Adversarial Representation Learning Jeff Donahue Karen Simonyan SSL 130 543 0 04 Jul 2019
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 320 2,662 0 20 Aug 2018
Deep Clustering for Unsupervised Learning of Visual Features Mathilde Caron Piotr Bojanowski Armand Joulin Matthijs Douze SSL 88 1,898 0 15 Jul 2018
Self-Supervised Feature Learning by Learning to Spot Artifacts Simon Jenni Paolo Favaro SSL 190 127 0 13 Jun 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 126 1,772 0 24 May 2018
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 258 3,290 0 21 Mar 2018
Learning Image Representations by Completing Damaged Jigsaw Puzzles Dahun Kim Donghyeon Cho Donggeun Yoo In So Kweon SSL 72 150 0 06 Feb 2018
Decoupled Weight Decay Regularization I. Loshchilov Frank Hutter OffRL 144 2,142 0 14 Nov 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 280 9,764 0 25 Oct 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 272 3,123 0 19 May 2017
Unsupervised Learning by Predicting Noise Piotr Bojanowski Armand Joulin OOD SSL 56 295 0 18 Apr 2017
Colorization as a Proxy Task for Visual Understanding Gustav Larsson Michael Maire Gregory Shakhnarovich SSL 145 497 0 11 Mar 2017
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction Richard Y. Zhang Phillip Isola Alexei A. Efros SSL DRL 66 668 0 29 Nov 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 333 8,130 0 13 Aug 2016
Gaussian Error Linear Units (GELUs) Dan Hendrycks Kevin Gimpel 169 5,011 0 27 Jun 2016
Adversarially Learned Inference Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville GAN 74 1,314 0 02 Jun 2016
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 67 5,297 0 25 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles M. Noroozi Paolo Favaro SSL 171 2,980 0 30 Mar 2016
Colorful Image Colorization Richard Y. Zhang Phillip Isola Alexei A. Efros 133 3,530 0 28 Mar 2016
Learning Representations for Automatic Colorization Gustav Larsson Michael Maire Gregory Shakhnarovich VLM SSL 87 1,013 0 22 Mar 2016
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations Ranjay Krishna Yuke Zhu Oliver Groth Justin Johnson Kenji Hata ... Yannis Kalantidis Li Li David A. Shamma Michael S. Bernstein Fei-Fei Li 215 5,747 0 23 Feb 2016
Unsupervised Visual Representation Learning by Context Prediction Carl Doersch Abhinav Gupta Alexei A. Efros DRL SSL 166 2,786 0 19 May 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 362 19,660 0 09 Mar 2015
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 413 43,667 0 01 May 2014