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1904.13132
Cited By
A critical analysis of self-supervision, or what we can learn from a single image
30 April 2019
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
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Papers citing
"A critical analysis of self-supervision, or what we can learn from a single image"
35 / 35 papers shown
Title
Scaling Backwards: Minimal Synthetic Pre-training?
Ryo Nakamura
Ryu Tadokoro
Ryosuke Yamada
Tim Puhlfürß
Iro Laina
Christian Rupprecht
Walid Maalej
Rio Yokota
Hirokatsu Kataoka
DD
19
2
0
01 Aug 2024
Self-supervised Learning via Cluster Distance Prediction for Operating Room Context Awareness
Idris Hamoud
Alexandros Karargyris
Aidean Sharghi
Omid Mohareri
N. Padoy
SSL
28
1
0
07 Jul 2024
MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks
Ibrahim Almakky
Santosh Sanjeev
Anees Ur Rehman Hashmi
Mohammad Areeb Qazi
Mohammad Yaqub
Mohammad Yaqub
FedML
MoMe
82
3
0
18 Mar 2024
On the Role of Parallel Data in Cross-lingual Transfer Learning
Machel Reid
Mikel Artetxe
21
10
0
20 Dec 2022
SinDiffusion: Learning a Diffusion Model from a Single Natural Image
Weilun Wang
Jianmin Bao
Wen-gang Zhou
Dongdong Chen
Dong Chen
Lu Yuan
Houqiang Li
DiffM
16
49
0
22 Nov 2022
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View Completion
Philippe Weinzaepfel
Vincent Leroy
Thomas Lucas
Romain Brégier
Yohann Cabon
Vaibhav Arora
L. Antsfeld
Boris Chidlovskii
G. Csurka
Jérôme Revaud
SSL
39
64
0
19 Oct 2022
Self-Supervised Pretraining for Differentially Private Learning
Arash Asadian
Evan Weidner
Lei Jiang
PICV
25
3
0
14 Jun 2022
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging
M. Taher
F. Haghighi
Michael B. Gotway
Jianming Liang
OOD
SSL
11
31
0
15 Apr 2022
Assessing the State of Self-Supervised Human Activity Recognition using Wearables
H. Haresamudram
Irfan Essa
Thomas Plötz
SSL
34
85
0
22 Feb 2022
SeamlessGAN: Self-Supervised Synthesis of Tileable Texture Maps
Carlos Rodriguez-Pardo
Elena Garces
GAN
12
24
0
13 Jan 2022
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Alaaeldin El-Nouby
Gautier Izacard
Hugo Touvron
Ivan Laptev
Hervé Jégou
Edouard Grave
SSL
27
148
0
20 Dec 2021
The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image
Yuki M. Asano
Aaqib Saeed
30
7
0
01 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
Hybrid BYOL-ViT: Efficient approach to deal with small datasets
Safwen Naimi
Rien van Leeuwen
W. Souidène
S. B. Saoud
SSL
ViT
25
2
0
08 Nov 2021
Image Shape Manipulation from a Single Augmented Training Sample
Yael Vinker
Eliahu Horwitz
Nir Zabari
Yedid Hoshen
GAN
28
20
0
13 Sep 2021
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
TTA
30
8
0
26 Aug 2021
Exploring Data Aggregation and Transformations to Generalize across Visual Domains
Antono DÍnnocente
OOD
33
0
0
20 Aug 2021
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering
Nairouz Mrabah
Mohamed Bouguessa
M. Touati
Riadh Ksantini
28
62
0
19 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity
Kyeongryeol Go
Seyoung Yun
24
1
0
05 Jul 2021
Learning to See by Looking at Noise
Manel Baradad
Jonas Wulff
Tongzhou Wang
Phillip Isola
Antonio Torralba
18
89
0
10 Jun 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
Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning
Mandela Patrick
Yuki M. Asano
Bernie Huang
Ishan Misra
Florian Metze
Joao Henriques
Andrea Vedaldi
AI4TS
18
33
0
18 Mar 2021
Self-Supervised Multisensor Change Detection
Sudipan Saha
Patrick Ebel
Xiaoxiang Zhu
SSL
13
80
0
12 Feb 2021
Pre-training without Natural Images
Hirokatsu Kataoka
Kazushige Okayasu
Asato Matsumoto
Eisuke Yamagata
Ryosuke Yamada
Nakamasa Inoue
Akio Nakamura
Y. Satoh
79
116
0
21 Jan 2021
Efficient Estimation of Influence of a Training Instance
Sosuke Kobayashi
Sho Yokoi
Jun Suzuki
Kentaro Inui
TDI
27
15
0
08 Dec 2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems
N. Sohoni
Jared A. Dunnmon
Geoffrey Angus
Albert Gu
Christopher Ré
21
240
0
25 Nov 2020
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
29
628
0
02 Oct 2020
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning
Yizhu Jiao
Yun Xiong
Jiawei Zhang
Yao Zhang
Tianqi Zhang
Yangyong Zhu
SSL
19
167
0
22 Sep 2020
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities
Shuhan Yuan
Xintao Wu
AAML
20
156
0
25 May 2020
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
69
18,294
0
13 Feb 2020
When Does Self-supervision Improve Few-shot Learning?
Jong-Chyi Su
Subhransu Maji
B. Hariharan
15
168
0
08 Oct 2019
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun
Xiaolong Wang
Zhuang Liu
John Miller
Alexei A. Efros
Moritz Hardt
TTA
OOD
24
91
0
29 Sep 2019
SinGAN: Learning a Generative Model from a Single Natural Image
Tamar Rott Shaham
Tali Dekel
T. Michaeli
GAN
VLM
29
832
0
02 May 2019
Self-Supervised Feature Learning by Learning to Spot Artifacts
Simon Jenni
Paolo Favaro
SSL
147
127
0
13 Jun 2018
Boosting Self-Supervised Learning via Knowledge Transfer
M. Noroozi
Ananth Vinjimoor
Paolo Favaro
Hamed Pirsiavash
SSL
209
292
0
01 May 2018
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