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Multi-task Self-Supervised Visual Learning

Multi-task Self-Supervised Visual Learning

25 August 2017
Carl Doersch
Andrew Zisserman
    SSL
ArXiv (abs)PDFHTML

Papers citing "Multi-task Self-Supervised Visual Learning"

50 / 364 papers shown
Title
Self-Labeling Refinement for Robust Representation Learning with
  Bootstrap Your Own Latent
Self-Labeling Refinement for Robust Representation Learning with Bootstrap Your Own Latent
Siddhant Garg
Dhruval Jain
SSL
131
0
0
09 Apr 2022
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation
Jin Yuan
Feng Hou
Yangzhou Du
Zhongchao Shi
Xin Geng
Jianping Fan
Yong Rui
SSLOOD
76
20
0
08 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain
  Learning
Universal Representations: A Unified Look at Multiple Task and Domain Learning
Wei-Hong Li
Xialei Liu
Hakan Bilen
SSLOOD
92
28
0
06 Apr 2022
MultiMAE: Multi-modal Multi-task Masked Autoencoders
MultiMAE: Multi-modal Multi-task Masked Autoencoders
Roman Bachmann
David Mizrahi
Andrei Atanov
Amir Zamir
142
278
0
04 Apr 2022
Inferring topological transitions in pattern-forming processes with
  self-supervised learning
Inferring topological transitions in pattern-forming processes with self-supervised learning
M. Abram
Keith Burghardt
Greg Ver Steeg
Aram Galstyan
Rémi Dingreville
AI4CE
30
9
0
19 Mar 2022
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding
  in Segmentation
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation
Renhao Wang
Hang Zhao
Yang Gao
SSL
72
1
0
17 Mar 2022
Object discovery and representation networks
Object discovery and representation networks
Olivier J. Hénaff
Skanda Koppula
Evan Shelhamer
Daniel Zoran
Andrew Jaegle
Andrew Zisserman
João Carreira
Relja Arandjelović
108
89
0
16 Mar 2022
Zipfian environments for Reinforcement Learning
Zipfian environments for Reinforcement Learning
Stephanie C. Y. Chan
Andrew Kyle Lampinen
Pierre Harvey Richemond
Felix Hill
OffRL
122
15
0
15 Mar 2022
UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired
  image-to-image translation
UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation
D. Torbunov
Yi Huang
Haiwang Yu
Jin-zhi Huang
Shinjae Yoo
Meifeng Lin
B. Viren
Yihui Ren
ViT
100
84
0
04 Mar 2022
Improving Molecular Contrastive Learning via Faulty Negative Mitigation
  and Decomposed Fragment Contrast
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast
Yuyang Wang
Rishikesh Magar
Chen Liang
A. Farimani
88
81
0
18 Feb 2022
Effective Training Strategies for Deep-learning-based Precipitation
  Nowcasting and Estimation
Effective Training Strategies for Deep-learning-based Precipitation Nowcasting and Estimation
Jihoon Ko
Kyuhan Lee
Hyun-Sun Hwang
Seok-Geun Oh
S. Son
Kijung Shin
AI4Cl
87
43
0
17 Feb 2022
Handcrafted Histological Transformer (H2T): Unsupervised Representation
  of Whole Slide Images
Handcrafted Histological Transformer (H2T): Unsupervised Representation of Whole Slide Images
Q. Vu
K. Rajpoot
S. Raza
Nasir M. Rajpoot
ViTMedIm
61
33
0
14 Feb 2022
Open-set Adversarial Defense with Clean-Adversarial Mutual Learning
Open-set Adversarial Defense with Clean-Adversarial Mutual Learning
Rui Shao
Pramuditha Perera
Pong C. Yuen
Vishal M. Patel
AAML
132
32
0
12 Feb 2022
Gap Minimization for Knowledge Sharing and Transfer
Gap Minimization for Knowledge Sharing and Transfer
Boyu Wang
Jorge Armando Mendez Mendez
Changjian Shui
Fan Zhou
Di Wu
Gezheng Xu
Christian Gagné
Eric Eaton
127
10
0
26 Jan 2022
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised
  Point Cloud Learning
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning
Mingye Xu
Yali Wang
Zhipeng Zhou
Hongbin Xu
Yu Qiao
3DPC
74
14
0
20 Jan 2022
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image
  Encoders
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders
Zeyang Sha
Xinlei He
Ning Yu
Michael Backes
Yang Zhang
133
35
0
19 Jan 2022
Sound and Visual Representation Learning with Multiple Pretraining Tasks
Sound and Visual Representation Learning with Multiple Pretraining Tasks
A. Vasudevan
Dengxin Dai
Luc Van Gool
SSL
80
6
0
04 Jan 2022
Adjusting the Ground Truth Annotations for Connectivity-Based Learning
  to Delineate
Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate
Doruk Öner
Leonardo Citraro
Mateusz Koziñski
Pascal Fua
3DH3DPC
64
2
0
06 Dec 2021
Self-supervised Video Transformer
Self-supervised Video Transformer
Kanchana Ranasinghe
Muzammal Naseer
Salman Khan
Fahad Shahbaz Khan
Michael S. Ryoo
ViT
130
88
0
02 Dec 2021
Boosting Supervised Learning Performance with Co-training
Boosting Supervised Learning Performance with Co-training
Xinnan Du
William Zhang
J. Álvarez
SSL
25
0
0
18 Nov 2021
Self-Supervised Multi-Object Tracking with Cross-Input Consistency
Self-Supervised Multi-Object Tracking with Cross-Input Consistency
Favyen Bastani
Songtao He
Sam Madden
SSLVOT
58
31
0
10 Nov 2021
MixSiam: A Mixture-based Approach to Self-supervised Representation
  Learning
MixSiam: A Mixture-based Approach to Self-supervised Representation Learning
Xiaoyang Guo
Tianhao Zhao
Yutian Lin
Bo Du
SSL
56
6
0
04 Nov 2021
Simple Dialogue System with AUDITED
Simple Dialogue System with AUDITED
Eugenio Clerico
Piotr Koniusz
65
2
0
22 Oct 2021
RPT: Toward Transferable Model on Heterogeneous Researcher Data via
  Pre-Training
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training
Ziyue Qiao
Yanjie Fu
Pengyang Wang
Meng Xiao
Zhiyuan Ning
Denghui Zhang
Yi Du
Yuanchun Zhou
99
13
0
08 Oct 2021
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher
  Framework
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
Tengteng Huang
Yifan Sun
Xun Wang
Haotian Yao
Chi Zhang
29
4
0
04 Oct 2021
Multi-source Few-shot Domain Adaptation
Multi-source Few-shot Domain Adaptation
Xiangyu Yue
Zangwei Zheng
Colorado Reed
Hari Prasanna Das
Kurt Keutzer
Alberto L. Sangiovanni-Vincentelli
105
12
0
25 Sep 2021
A Study of the Generalizability of Self-Supervised Representations
A Study of the Generalizability of Self-Supervised Representations
Atharva Tendle
Mohammad Rashedul Hasan
159
28
0
19 Sep 2021
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning
Sarkar Snigdha Sarathi Das
Arzoo Katiyar
R. Passonneau
Rui Zhang
83
147
0
15 Sep 2021
Deep Bregman Divergence for Contrastive Learning of Visual
  Representations
Deep Bregman Divergence for Contrastive Learning of Visual Representations
Mina Rezaei
Farzin Soleymani
B. Bischl
Shekoofeh Azizi
SSL
80
16
0
15 Sep 2021
Temporal Knowledge Consistency for Unsupervised Visual Representation
  Learning
Temporal Knowledge Consistency for Unsupervised Visual Representation Learning
Wei Feng
Yuanjiang Wang
Lihua Ma
Ye Yuan
Chi Zhang
SSL
55
13
0
24 Aug 2021
Exploring Data Aggregation and Transformations to Generalize across
  Visual Domains
Exploring Data Aggregation and Transformations to Generalize across Visual Domains
Antono DÍnnocente
OOD
61
0
0
20 Aug 2021
Concurrent Discrimination and Alignment for Self-Supervised Feature
  Learning
Concurrent Discrimination and Alignment for Self-Supervised Feature Learning
Anjan Dutta
Massimiliano Mancini
Zeynep Akata
SSL
46
0
0
19 Aug 2021
Perceiver IO: A General Architecture for Structured Inputs & Outputs
Perceiver IO: A General Architecture for Structured Inputs & Outputs
Andrew Jaegle
Sebastian Borgeaud
Jean-Baptiste Alayrac
Carl Doersch
Catalin Ionescu
...
Olivier J. Hénaff
M. Botvinick
Andrew Zisserman
Oriol Vinyals
João Carreira
MLLMVLMGNN
133
585
0
30 Jul 2021
Self-Paced Contrastive Learning for Semi-supervised Medical Image
  Segmentation with Meta-labels
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels
Jizong Peng
Ping Wang
Chrisitian Desrosiers
M. Pedersoli
SSL
89
65
0
29 Jul 2021
AASAE: Augmentation-Augmented Stochastic Autoencoders
AASAE: Augmentation-Augmented Stochastic Autoencoders
William Falcon
A. Jha
Teddy Koker
Kyunghyun Cho
100
0
0
26 Jul 2021
Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale Embeddings
Yibao Sun
Xingru Huang
Yaqi Wang
Huiyu Zhou
Qianni Zhang
50
4
0
02 Jul 2021
Disentangling Transfer and Interference in Multi-Domain Learning
Disentangling Transfer and Interference in Multi-Domain Learning
Yipeng Zhang
Tyler L. Hayes
Christopher Kanan
119
3
0
02 Jul 2021
Pretext Tasks selection for multitask self-supervised speech
  representation learning
Pretext Tasks selection for multitask self-supervised speech representation learning
Salah Zaiem
Titouan Parcollet
S. Essid
Abdel Heba
SSL
89
13
0
01 Jul 2021
A Theory-Driven Self-Labeling Refinement Method for Contrastive
  Representation Learning
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
Pan Zhou
Caiming Xiong
Xiaotong Yuan
Guosheng Lin
SSL
61
12
0
28 Jun 2021
SRPN: similarity-based region proposal networks for nuclei and cells
  detection in histology images
SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images
Yibao Sun
Xingru Huang
Huiyu Zhou
Qianni Zhang
75
33
0
25 Jun 2021
Generative Modeling for Multi-task Visual Learning
Generative Modeling for Multi-task Visual Learning
Zhipeng Bao
M. Hebert
Yu-Xiong Wang
56
17
0
25 Jun 2021
Self-supervised Video Representation Learning with Cross-Stream
  Prototypical Contrasting
Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting
Martine Toering
Ioannis Gatopoulos
M. Stol
Vincent Tao Hu
SSL
108
11
0
18 Jun 2021
What Does Rotation Prediction Tell Us about Classifier Accuracy under
  Varying Testing Environments?
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
Weijian Deng
Stephen Gould
Liang Zheng
100
64
0
10 Jun 2021
Automated Self-Supervised Learning for Graphs
Automated Self-Supervised Learning for Graphs
Wei Jin
Xiaorui Liu
Xiangyu Zhao
Yao Ma
Neil Shah
Jiliang Tang
SSL
139
76
0
10 Jun 2021
Learning by Distillation: A Self-Supervised Learning Framework for
  Optical Flow Estimation
Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation
Pengpeng Liu
Michael R. Lyu
Irwin King
Jia Xu
48
8
0
08 Jun 2021
GeoQA: A Geometric Question Answering Benchmark Towards Multimodal
  Numerical Reasoning
GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning
Jiaqi Chen
Jianheng Tang
Jinghui Qin
Xiaodan Liang
Lingbo Liu
Eric Xing
Liang Lin
AIMat
112
188
0
30 May 2021
Continual Learning for Real-World Autonomous Systems: Algorithms,
  Challenges and Frameworks
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks
Khadija Shaheen
Muhammad Abdullah Hanif
Osman Hasan
Mohamed Bennai
CLL
84
93
0
26 May 2021
Do We Really Need to Learn Representations from In-domain Data for
  Outlier Detection?
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection?
Zhisheng Xiao
Qing Yan
Y. Amit
OODUQCV
73
18
0
19 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
138
101
0
17 May 2021
3D Spatial Recognition without Spatially Labeled 3D
3D Spatial Recognition without Spatially Labeled 3D
Zhongzheng Ren
Ishan Misra
Alex Schwing
Rohit Girdhar
3DPC
76
58
0
13 May 2021
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