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Boosting Self-Supervised Learning via Knowledge Transfer

Boosting Self-Supervised Learning via Knowledge Transfer

1 May 2018
M. Noroozi
Ananth Vinjimoor
Paolo Favaro
Hamed Pirsiavash
    SSL
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Papers citing "Boosting Self-Supervised Learning via Knowledge Transfer"

50 / 165 papers shown
Title
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph
  Representation Learning
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning
Yanqiao Zhu
Yichen Xu
Feng Yu
Shu Wu
Liang Wang
SSL
GNN
30
28
0
03 Sep 2020
Adversarial Knowledge Transfer from Unlabeled Data
Adversarial Knowledge Transfer from Unlabeled Data
Akash Gupta
Yikang Shen
S. Paul
Jianming Zhang
A. Roy-Chowdhury
13
0
0
13 Aug 2020
Self-supervised Learning of Point Clouds via Orientation Estimation
Self-supervised Learning of Point Clouds via Orientation Estimation
Omid Poursaeed
Tianxing Jiang
Quintessa Qiao
N. Xu
Vladimir G. Kim
3DPC
SSL
11
116
0
01 Aug 2020
Self-Supervised Learning Across Domains
Self-Supervised Learning Across Domains
S. Bucci
A. DÍnnocente
Yujun Liao
Fabio Maria Carlucci
Barbara Caputo
Tatiana Tommasi
SSL
34
73
0
24 Jul 2020
Reliable Label Bootstrapping for Semi-Supervised Learning
Reliable Label Bootstrapping for Semi-Supervised Learning
Paul Albert
Diego Ortego
Eric Arazo
Noel E. O'Connor
Kevin McGuinness
SSL
21
5
0
23 Jul 2020
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion
Chang Shu
Kun Yu
Zhixiang Duan
Kuiyuan Yang
SSL
MDE
42
229
0
21 Jul 2020
Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise
  Transformation for 3D Medical Image Segmentation
Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation
Xing Tao
Yuexiang Li
Wenhui Zhou
Kai Ma
Yefeng Zheng
19
67
0
17 Jul 2020
Tackling the Problem of Limited Data and Annotations in Semantic
  Segmentation
Tackling the Problem of Limited Data and Annotations in Semantic Segmentation
Ahmadreza Jeddi
19
0
0
14 Jul 2020
Online Deep Clustering for Unsupervised Representation Learning
Online Deep Clustering for Unsupervised Representation Learning
Xiaohang Zhan
Jiahao Xie
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
OOD
46
184
0
18 Jun 2020
Self-supervised Learning on Graphs: Deep Insights and New Direction
Self-supervised Learning on Graphs: Deep Insights and New Direction
Wei Jin
Tyler Derr
Haochen Liu
Yiqi Wang
Suhang Wang
Zitao Liu
Jiliang Tang
SSL
16
172
0
17 Jun 2020
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
50
1,586
0
15 Jun 2020
Knowledge Distillation Meets Self-Supervision
Knowledge Distillation Meets Self-Supervision
Guodong Xu
Ziwei Liu
Xiaoxiao Li
Chen Change Loy
FedML
37
280
0
12 Jun 2020
Knowledge Distillation: A Survey
Knowledge Distillation: A Survey
Jianping Gou
B. Yu
Stephen J. Maybank
Dacheng Tao
VLM
19
2,851
0
09 Jun 2020
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and
  Experimental Study
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study
Biao Gao
Yancheng Pan
Chengkun Li
Sibo Geng
Huijing Zhao
3DPC
19
25
0
08 Jun 2020
Deepzzle: Solving Visual Jigsaw Puzzles with Deep Learning andShortest
  Path Optimization
Deepzzle: Solving Visual Jigsaw Puzzles with Deep Learning andShortest Path Optimization
Marie-Morgane Paumard
David Picard
Hedi Tabia
17
42
0
26 May 2020
SCAN: Learning to Classify Images without Labels
SCAN: Learning to Classify Images without Labels
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Marc Proesmans
Luc Van Gool
VLM
SSL
50
523
0
25 May 2020
Sketch-BERT: Learning Sketch Bidirectional Encoder Representation from
  Transformers by Self-supervised Learning of Sketch Gestalt
Sketch-BERT: Learning Sketch Bidirectional Encoder Representation from Transformers by Self-supervised Learning of Sketch Gestalt
Hangyu Lin
Yanwei Fu
Yu-Gang Jiang
Xiangyang Xue
SSL
6
64
0
19 May 2020
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
Timo Milbich
Karsten Roth
Homanga Bharadhwaj
Samarth Sinha
Yoshua Bengio
Bjorn Ommer
Joseph Paul Cohen
29
66
0
28 Apr 2020
Self-Supervised Feature Extraction for 3D Axon Segmentation
Self-Supervised Feature Extraction for 3D Axon Segmentation
Tzofi Klinghoffer
Peter Morales
Young-Gyun Park
Nicholas Evans
Kwanghun Chung
L. Brattain
3DPC
37
15
0
20 Apr 2020
Are we pretraining it right? Digging deeper into visio-linguistic
  pretraining
Are we pretraining it right? Digging deeper into visio-linguistic pretraining
Amanpreet Singh
Vedanuj Goswami
Devi Parikh
VLM
40
48
0
19 Apr 2020
Self-Supervised Representation Learning on Document Images
Self-Supervised Representation Learning on Document Images
Adrian Cosma
Mihai Ghidoveanu
Michael Panaitescu-Liess
Marius Popescu
SSL
30
14
0
18 Apr 2020
Self-supervised Feature Learning by Cross-modality and Cross-view
  Correspondences
Self-supervised Feature Learning by Cross-modality and Cross-view Correspondences
Longlong Jing
Yucheng Chen
Ling Zhang
Mingyi He
Yingli Tian
3DPC
SSL
14
34
0
13 Apr 2020
Models Genesis
Models Genesis
Zongwei Zhou
V. Sodha
Jiaxuan Pang
Michael B. Gotway
Jianming Liang
MedIm
21
27
0
09 Apr 2020
Review of Artificial Intelligence Techniques in Imaging Data
  Acquisition, Segmentation and Diagnosis for COVID-19
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19
F. Shi
Jun Wang
Jun Shi
Zi-xiang Wu
Qian Wang
Zhenyu Tang
Kelei He
Yinghuan Shi
Dinggang Shen
39
1,053
0
06 Apr 2020
Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics
Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics
Simon Jenni
Hailin Jin
Paolo Favaro
SSL
22
45
0
05 Apr 2020
Pose-guided Visible Part Matching for Occluded Person ReID
Pose-guided Visible Part Matching for Occluded Person ReID
Shang Gao
Jingya Wang
Huchuan Lu
Zimo Liu
9
197
0
01 Apr 2020
Label-Efficient Learning on Point Clouds using Approximate Convex
  Decompositions
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions
Matheus Gadelha
Aruni RoyChowdhury
Gopal Sharma
E. Kalogerakis
Liangliang Cao
Erik Learned-Miller
Rui Wang
Subhransu Maji
3DPC
26
45
0
30 Mar 2020
Weakly supervised discriminative feature learning with state information
  for person identification
Weakly supervised discriminative feature learning with state information for person identification
Hong-Xing Yu
Wei-Shi Zheng
33
16
0
27 Feb 2020
A Multi-view Perspective of Self-supervised Learning
A Multi-view Perspective of Self-supervised Learning
Chuanxing Geng
Zheng-Hua Tan
Songcan Chen
SSL
19
0
0
22 Feb 2020
A survey on Semi-, Self- and Unsupervised Learning for Image
  Classification
A survey on Semi-, Self- and Unsupervised Learning for Image Classification
Lars Schmarje
M. Santarossa
Simon-Martin Schroder
Reinhard Koch
SSL
VLM
17
162
0
20 Feb 2020
Self-Supervised Joint Encoding of Motion and Appearance for First Person
  Action Recognition
Self-Supervised Joint Encoding of Motion and Appearance for First Person Action Recognition
M. Planamente
A. Bottino
Barbara Caputo
EgoV
23
3
0
10 Feb 2020
Deep Self-Supervised Representation Learning for Free-Hand Sketch
Deep Self-Supervised Representation Learning for Free-Hand Sketch
Peng Xu
Zeyu Song
Qiyue Yin
Yi-Zhe Song
Liang Wang
SSL
28
41
0
03 Feb 2020
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of
  Local Geometric Priors
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors
Lulu Tang
Ke Chen
Chaozheng Wu
Yu Hong
Kui Jia
Zhixin Yang
3DPC
26
24
0
14 Jan 2020
A simple baseline for domain adaptation using rotation prediction
A simple baseline for domain adaptation using rotation prediction
Ajinkya Tejankar
Hamed Pirsiavash
SSL
25
5
0
26 Dec 2019
Image Enhanced Rotation Prediction for Self-Supervised Learning
Image Enhanced Rotation Prediction for Self-Supervised Learning
Shin'ya Yamaguchi
Sekitoshi Kanai
Tetsuya Shioda
Shoichiro Takeda
9
12
0
25 Dec 2019
ClusterFit: Improving Generalization of Visual Representations
ClusterFit: Improving Generalization of Visual Representations
Xueting Yan
Ishan Misra
Abhinav Gupta
Deepti Ghadiyaram
D. Mahajan
SSL
VLM
27
132
0
06 Dec 2019
Self-Supervised Learning of Pretext-Invariant Representations
Self-Supervised Learning of Pretext-Invariant Representations
Ishan Misra
L. V. D. van der Maaten
SSL
VLM
39
1,446
0
04 Dec 2019
Towards Oracle Knowledge Distillation with Neural Architecture Search
Towards Oracle Knowledge Distillation with Neural Architecture Search
Minsoo Kang
Jonghwan Mun
Bohyung Han
FedML
38
43
0
29 Nov 2019
Towards a Hypothesis on Visual Transformation based Self-Supervision
Towards a Hypothesis on Visual Transformation based Self-Supervision
Dipan K. Pal
Sreena Nallamothu
Marios Savvides
11
6
0
24 Nov 2019
Self-labelling via simultaneous clustering and representation learning
Self-labelling via simultaneous clustering and representation learning
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
33
760
0
13 Nov 2019
A Novel Self-Supervised Re-labeling Approach for Training with Noisy
  Labels
A Novel Self-Supervised Re-labeling Approach for Training with Noisy Labels
Devraj Mandal
S. Bharadwaj
Soma Biswas
NoLa
12
20
0
13 Oct 2019
Learning to Generalize One Sample at a Time with Self-Supervision
Learning to Generalize One Sample at a Time with Self-Supervision
A. DÍnnocente
S. Bucci
Barbara Caputo
Tatiana Tommasi
SSL
OOD
14
4
0
09 Oct 2019
Self-supervised Feature Learning for 3D Medical Images by Playing a
  Rubik's Cube
Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube
Xinrui Zhuang
Yuexiang Li
Yifan Hu
Kai Ma
Yujiu Yang
Yefeng Zheng
SSL
29
149
0
05 Oct 2019
Information based Deep Clustering: An experimental study
Information based Deep Clustering: An experimental study
Jizong Peng
Christian Desrosiers
M. Pedersoli
27
1
0
03 Oct 2019
MIC: Mining Interclass Characteristics for Improved Metric Learning
MIC: Mining Interclass Characteristics for Improved Metric Learning
Karsten Roth
Biagio Brattoli
Bjorn Ommer
14
89
0
25 Sep 2019
Distributed Parameter Estimation in Randomized One-hidden-layer Neural
  Networks
Distributed Parameter Estimation in Randomized One-hidden-layer Neural Networks
Yinsong Wang
Shahin Shahrampour
FedML
6
1
0
20 Sep 2019
Towards Shape Biased Unsupervised Representation Learning for Domain
  Generalization
Towards Shape Biased Unsupervised Representation Learning for Domain Generalization
Nader Asadi
Amir M. Sarfi
M. Hosseinzadeh
Zahra Karimpour
M. Eftekhari
OOD
SSL
27
24
0
18 Sep 2019
Metric-based Regularization and Temporal Ensemble for Multi-task
  Learning using Heterogeneous Unsupervised Tasks
Metric-based Regularization and Temporal Ensemble for Multi-task Learning using Heterogeneous Unsupervised Tasks
D. Kim
Seung Hyun Lee
B. Song
25
3
0
29 Aug 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Puneet Mangla
M. Singh
Abhishek Sinha
Nupur Kumari
V. Balasubramanian
Balaji Krishnamurthy
SSL
36
327
0
28 Jul 2019
S4L: Self-Supervised Semi-Supervised Learning
S4L: Self-Supervised Semi-Supervised Learning
Xiaohua Zhai
Avital Oliver
Alexander Kolesnikov
Lucas Beyer
SSL
VLM
46
786
0
09 May 2019
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