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2103.01988
Cited By
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
Runtao Liu
Zhirong Wu
Stella X. Yu
Stephen Lin
VOS
30
51
0
11 Nov 2021
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
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
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
Samira Abnar
Mostafa Dehghani
Behnam Neyshabur
Hanie Sedghi
AI4CE
55
114
0
05 Oct 2021
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
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
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
Manel Baradad
Jonas Wulff
Tongzhou Wang
Phillip Isola
Antonio Torralba
18
89
0
10 Jun 2021
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
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
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
C. Vicas
AI4CE
8
0
0
23 Apr 2021
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
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
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
Hugo Touvron
Andrea Vedaldi
Matthijs Douze
Hervé Jégou
AAML
189
110
0
18 Mar 2020
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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