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Selfie: Self-supervised Pretraining for Image Embedding
v1v2v3 (latest)

Selfie: Self-supervised Pretraining for Image Embedding

7 June 2019
Trieu H. Trinh
Minh-Thang Luong
Quoc V. Le
    SSL
ArXiv (abs)PDFHTML

Papers citing "Selfie: Self-supervised Pretraining for Image Embedding"

20 / 70 papers shown
Multimodal Research in Vision and Language: A Review of Current and
  Emerging Trends
Multimodal Research in Vision and Language: A Review of Current and Emerging Trends
Shagun Uppal
Sarthak Bhagat
Devamanyu Hazarika
Navonil Majumdar
Soujanya Poria
Roger Zimmermann
Amir Zadeh
277
6
0
19 Oct 2020
G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection
  via Pseudo Labelling
G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling
Souradip Chakraborty
A. R. Gosthipaty
Sayak Paul
SSL
104
23
0
25 Sep 2020
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal
  Transformers
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal TransformersConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Jaemin Cho
Jiasen Lu
Dustin Schwenk
Hannaneh Hajishirzi
Aniruddha Kembhavi
VLMMLLM
215
106
0
23 Sep 2020
Self-Supervised Human Activity Recognition by Augmenting Generative
  Adversarial Networks
Self-Supervised Human Activity Recognition by Augmenting Generative Adversarial NetworksPetra (PETRA), 2020
Mohammad Zaki Zadeh
Ashwin Ramesh Babu
Ashish Jaiswal
F. Makedon
160
17
0
26 Aug 2020
A Survey on Self-supervised Pre-training for Sequential Transfer
  Learning in Neural Networks
A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural Networks
H. H. Mao
BDLSSL
142
54
0
01 Jul 2020
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training
Xuxi Chen
Wuyang Chen
Tianlong Chen
Ye Yuan
Chen Gong
Kewei Chen
Zinan Lin
156
94
0
22 Jun 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Rethinking the Value of Labels for Improving Class-Imbalanced LearningNeural Information Processing Systems (NeurIPS), 2020
Yuzhe Yang
Zhi Xu
SSL
403
475
0
13 Jun 2020
VirTex: Learning Visual Representations from Textual Annotations
VirTex: Learning Visual Representations from Textual AnnotationsComputer Vision and Pattern Recognition (CVPR), 2020
Karan Desai
Justin Johnson
SSLVLM
473
467
0
11 Jun 2020
FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal
  Retrieval
FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval
D. Gao
Linbo Jin
Ben Chen
Minghui Qiu
Peng Li
Yi Wei
Yitao Hu
Haozhe Jasper Wang
OOD
209
146
0
20 May 2020
Label-Efficient Learning on Point Clouds using Approximate Convex
  Decompositions
Label-Efficient Learning on Point Clouds using Approximate Convex DecompositionsEuropean Conference on Computer Vision (ECCV), 2020
Matheus Gadelha
Aruni RoyChowdhury
Gopal Sharma
E. Kalogerakis
Liangliang Cao
Erik Learned-Miller
Rui Wang
Subhransu Maji
3DPC
226
47
0
30 Mar 2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-TuningComputer Vision and Pattern Recognition (CVPR), 2020
Tianlong Chen
Sijia Liu
Shiyu Chang
Yu Cheng
Lisa Amini
Zinan Lin
AAML
253
274
0
28 Mar 2020
Instance Separation Emerges from Inpainting
Instance Separation Emerges from Inpainting
Steffen Wolf
Fred Hamprecht
Jan Funke
OCLSSL
114
2
0
28 Feb 2020
Learning Representations by Predicting Bags of Visual Words
Learning Representations by Predicting Bags of Visual WordsComputer Vision and Pattern Recognition (CVPR), 2020
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
313
124
0
27 Feb 2020
Towards Utilizing Unlabeled Data in Federated Learning: A Survey and
  Prospective
Towards Utilizing Unlabeled Data in Federated Learning: A Survey and Prospective
Yilun Jin
Xiguang Wei
Yang Liu
Qiang Yang
FedML
134
68
0
26 Feb 2020
Pre-Training of Deep Bidirectional Protein Sequence Representations with
  Structural Information
Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural InformationIEEE Access (IEEE Access), 2019
Seonwoo Min
Seunghyun Park
Siwon Kim
Hyun-Soo Choi
Byunghan Lee
Sungroh Yoon
SSL
319
63
0
25 Nov 2019
Towards a Hypothesis on Visual Transformation based Self-Supervision
Towards a Hypothesis on Visual Transformation based Self-SupervisionBritish Machine Vision Conference (BMVC), 2019
Dipan K. Pal
Sreena Nallamothu
Marios Savvides
129
6
0
24 Nov 2019
When Does Self-supervision Improve Few-shot Learning?
When Does Self-supervision Improve Few-shot Learning?European Conference on Computer Vision (ECCV), 2019
Jong-Chyi Su
Subhransu Maji
B. Hariharan
220
186
0
08 Oct 2019
UNITER: UNiversal Image-TExt Representation Learning
UNITER: UNiversal Image-TExt Representation LearningEuropean Conference on Computer Vision (ECCV), 2019
Yen-Chun Chen
Linjie Li
Licheng Yu
Ahmed El Kholy
Faisal Ahmed
Zhe Gan
Yu Cheng
Jingjing Liu
VLMOT
345
464
0
25 Sep 2019
TabNet: Attentive Interpretable Tabular Learning
TabNet: Attentive Interpretable Tabular LearningAAAI Conference on Artificial Intelligence (AAAI), 2019
Sercan O. Arik
Tomas Pfister
LMTD
762
1,788
0
20 Aug 2019
Unsupervised Data Augmentation for Consistency Training
Unsupervised Data Augmentation for Consistency TrainingNeural Information Processing Systems (NeurIPS), 2019
Qizhe Xie
Zihang Dai
Eduard H. Hovy
Minh-Thang Luong
Quoc V. Le
793
2,537
0
29 Apr 2019
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