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Self-supervised Pretraining of Visual Features in the Wild

Self-supervised Pretraining of Visual Features in the Wild

2 March 2021
Priya Goyal
Mathilde Caron
Benjamin Lefaudeux
Min Xu
Pengchao Wang
Vivek Pai
Mannat Singh
Vitaliy Liptchinsky
Ishan Misra
Armand Joulin
Piotr Bojanowski
    VLM
    SSL
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Papers citing "Self-supervised Pretraining of Visual Features in the Wild"

18 / 68 papers shown
Title
The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos
The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos
Runtao Liu
Zhirong Wu
Stella X. Yu
Stephen Lin
VOS
30
51
0
11 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,434
0
11 Nov 2021
Self-supervised similarity search for large scientific datasets
Self-supervised similarity search for large scientific datasets
G. Stein
P. Harrington
Jacqueline Blaum
Tomislav Medan
Z. Lukić
17
21
0
25 Oct 2021
Self-supervised Learning is More Robust to Dataset Imbalance
Self-supervised Learning is More Robust to Dataset Imbalance
Hong Liu
Jeff Z. HaoChen
Adrien Gaidon
Tengyu Ma
OOD
SSL
31
156
0
11 Oct 2021
Exploring the Limits of Large Scale Pre-training
Exploring the Limits of Large Scale Pre-training
Samira Abnar
Mostafa Dehghani
Behnam Neyshabur
Hanie Sedghi
AI4CE
55
114
0
05 Oct 2021
Homography augumented momentum constrastive learning for SAR image
  retrieval
Homography augumented momentum constrastive learning for SAR image retrieval
Seonho Park
M. Rysz
Kathleen M. Dipple
P. Pardalos
23
1
0
21 Sep 2021
Unsupervised Object-Level Representation Learning from Scene Images
Unsupervised Object-Level Representation Learning from Scene Images
Jiahao Xie
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
SSL
OCL
28
73
0
22 Jun 2021
Efficient Self-supervised Vision Transformers for Representation
  Learning
Efficient Self-supervised Vision Transformers for Representation Learning
Chunyuan Li
Jianwei Yang
Pengchuan Zhang
Mei Gao
Bin Xiao
Xiyang Dai
Lu Yuan
Jianfeng Gao
ViT
30
209
0
17 Jun 2021
Learning to See by Looking at Noise
Learning to See by Looking at Noise
Manel Baradad
Jonas Wulff
Tongzhou Wang
Phillip Isola
Antonio Torralba
18
89
0
10 Jun 2021
What Is Considered Complete for Visual Recognition?
What Is Considered Complete for Visual Recognition?
Lingxi Xie
Xiaopeng Zhang
Longhui Wei
Jianlong Chang
Qi Tian
VLM
18
4
0
28 May 2021
Backdoor Attacks on Self-Supervised Learning
Backdoor Attacks on Self-Supervised Learning
Aniruddha Saha
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Hamed Pirsiavash
SSL
AAML
27
100
0
21 May 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data
Divide and Contrast: Self-supervised Learning from Uncurated Data
Yonglong Tian
Olivier J. Hénaff
Aaron van den Oord
SSL
51
96
0
17 May 2021
Inductive biases and Self Supervised Learning in modelling a physical
  heating system
Inductive biases and Self Supervised Learning in modelling a physical heating system
C. Vicas
AI4CE
8
0
0
23 Apr 2021
Contrasting Contrastive Self-Supervised Representation Learning
  Pipelines
Contrasting Contrastive Self-Supervised Representation Learning Pipelines
Klemen Kotar
Gabriel Ilharco
Ludwig Schmidt
Kiana Ehsani
Roozbeh Mottaghi
SSL
23
45
0
25 Mar 2021
Efficient Visual Pretraining with Contrastive Detection
Efficient Visual Pretraining with Contrastive Detection
Olivier J. Hénaff
Skanda Koppula
Jean-Baptiste Alayrac
Aaron van den Oord
Oriol Vinyals
João Carreira
VLM
SSL
24
162
0
19 Mar 2021
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
31
1,586
0
15 Jun 2020
Fixing the train-test resolution discrepancy: FixEfficientNet
Fixing the train-test resolution discrepancy: FixEfficientNet
Hugo Touvron
Andrea Vedaldi
Matthijs Douze
Hervé Jégou
AAML
189
110
0
18 Mar 2020
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 2016
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