ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1805.00385
  4. Cited By
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
ArXivPDFHTML

Papers citing "Boosting Self-Supervised Learning via Knowledge Transfer"

50 / 165 papers shown
Title
Discovering Object Masks with Transformers for Unsupervised Semantic
  Segmentation
Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation
Wouter Van Gansbeke
Simon Vandenhende
Luc Van Gool
44
55
0
13 Jun 2022
Online Deep Clustering with Video Track Consistency
Online Deep Clustering with Video Track Consistency
Alessandra Alfani
Federico Becattini
Lorenzo Seidenari
A. Bimbo
31
0
0
07 Jun 2022
From Keypoints to Object Landmarks via Self-Training Correspondence: A
  novel approach to Unsupervised Landmark Discovery
From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark Discovery
Dimitrios Mallis
Enrique Sanchez
Matt Bell
Georgios Tzimiropoulos
SSL
3DPC
43
6
0
31 May 2022
Relation-guided acoustic scene classification aided with event
  embeddings
Relation-guided acoustic scene classification aided with event embeddings
Yuanbo Hou
Bo Kang
Wout Van Hauwermeiren
Dick Botteldooren
24
16
0
01 May 2022
SegDiscover: Visual Concept Discovery via Unsupervised Semantic
  Segmentation
SegDiscover: Visual Concept Discovery via Unsupervised Semantic Segmentation
Haiyang Huang
Zhi Chen
Cynthia Rudin
72
13
0
22 Apr 2022
Learning Downstream Task by Selectively Capturing Complementary
  Knowledge from Multiple Self-supervisedly Learning Pretexts
Learning Downstream Task by Selectively Capturing Complementary Knowledge from Multiple Self-supervisedly Learning Pretexts
Jiayu Yao
Qingyuan Wu
Quan Feng
Songcan Chen
SSL
32
1
0
11 Apr 2022
Reinforcement-based frugal learning for satellite image change detection
Reinforcement-based frugal learning for satellite image change detection
Sebastien Deschamps
H. Sahbi
30
1
0
22 Mar 2022
Frugal Learning of Virtual Exemplars for Label-Efficient Satellite Image
  Change Detection
Frugal Learning of Virtual Exemplars for Label-Efficient Satellite Image Change Detection
H. Sahbi
Sebastien Deschamps
33
0
0
22 Mar 2022
Model Inversion Attack against Transfer Learning: Inverting a Model
  without Accessing It
Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It
Dayong Ye
Huiqiang Chen
Shuai Zhou
Tianqing Zhu
Wanlei Zhou
S. Ji
MIACV
22
6
0
13 Mar 2022
Audio Self-supervised Learning: A Survey
Audio Self-supervised Learning: A Survey
Shuo Liu
Adria Mallol-Ragolta
Emilia Parada-Cabeleiro
Kun Qian
Xingshuo Jing
Alexander Kathan
Bin Hu
Bjoern W. Schuller
SSL
40
106
0
02 Mar 2022
SimReg: Regression as a Simple Yet Effective Tool for Self-supervised
  Knowledge Distillation
SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation
K. Navaneet
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Hamed Pirsiavash
21
19
0
13 Jan 2022
Multi-Variant Consistency based Self-supervised Learning for Robust
  Automatic Speech Recognition
Multi-Variant Consistency based Self-supervised Learning for Robust Automatic Speech Recognition
Changfeng Gao
Gaofeng Cheng
Pengyuan Zhang
25
4
0
23 Dec 2021
Data Efficient Language-supervised Zero-shot Recognition with Optimal
  Transport Distillation
Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation
Bichen Wu
Rui Cheng
Peizhao Zhang
Tianren Gao
Peter Vajda
Joseph E. Gonzalez
VLM
22
45
0
17 Dec 2021
Boosting Contrastive Learning with Relation Knowledge Distillation
Boosting Contrastive Learning with Relation Knowledge Distillation
Kai Zheng
Yuanjiang Wang
Ye Yuan
SSL
13
13
0
08 Dec 2021
Auxiliary Learning for Self-Supervised Video Representation via
  Similarity-based Knowledge Distillation
Auxiliary Learning for Self-Supervised Video Representation via Similarity-based Knowledge Distillation
Amirhossein Dadashzadeh
Alan Whone
Majid Mirmehdi
SSL
24
4
0
07 Dec 2021
Object-Aware Cropping for Self-Supervised Learning
Object-Aware Cropping for Self-Supervised Learning
Shlok Kumar Mishra
Anshul B. Shah
Ankan Bansal
Abhyuday N. Jagannatha
Janit Anjaria
Abhishek Sharma
David Jacobs
Dilip Krishnan
SSL
26
22
0
01 Dec 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
30
6
0
04 Nov 2021
MTGLS: Multi-Task Gaze Estimation with Limited Supervision
MTGLS: Multi-Task Gaze Estimation with Limited Supervision
Abdulaziz Shamsah
Munawar Hayat
Seth Hutchinson
Jarrod Knibbe
CVBM
43
21
0
23 Oct 2021
Self-Supervised Visual Representation Learning Using Lightweight
  Architectures
Self-Supervised Visual Representation Learning Using Lightweight Architectures
Prathamesh Sonawane
Sparsh Drolia
Saqib Nizam Shamsi
Bhargav Jain
SSL
17
1
0
21 Oct 2021
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels
  with Overclustering and Inverse Cross-Entropy
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy
Lars Schmarje
Johannes Brunger
M. Santarossa
Simon-Martin Schroder
R. Kiko
Reinhard Koch
47
17
0
13 Oct 2021
Active learning for interactive satellite image change detection
Active learning for interactive satellite image change detection
H. Sahbi
Sebastien Deschamps
Andrei Stoian
42
6
0
08 Oct 2021
Fine-grained Hand Gesture Recognition in Multi-viewpoint Hand Hygiene
Fine-grained Hand Gesture Recognition in Multi-viewpoint Hand Hygiene
Huy Q. Vo
Tuong Khanh Long Do
Vinson Pham
Duy V.M. Nguyen
An T. Duong
Quang-Dieu Tran
17
3
0
07 Sep 2021
ScatSimCLR: self-supervised contrastive learning with pretext task
  regularization for small-scale datasets
ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets
Vitaliy Kinakh
O. Taran
S. Voloshynovskiy
38
12
0
31 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
33
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
22
0
0
19 Aug 2021
Multi-Target Domain Adaptation with Collaborative Consistency Learning
Multi-Target Domain Adaptation with Collaborative Consistency Learning
Takashi Isobe
Xu Jia
Shuaijun Chen
Jianzhong He
Yongjie Shi
Jian-zhuo Liu
Huchuan Lu
Shengjin Wang
30
84
0
07 Jun 2021
Large-scale Unsupervised Semantic Segmentation
Large-scale Unsupervised Semantic Segmentation
Shangqi Gao
Zhong-Yu Li
Ming-Hsuan Yang
Mingg-Ming Cheng
Junwei Han
Philip Torr
UQCV
38
84
0
06 Jun 2021
Mean Shift for Self-Supervised Learning
Mean Shift for Self-Supervised Learning
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Hamed Pirsiavash
SSL
30
93
0
15 May 2021
Motion-Augmented Self-Training for Video Recognition at Smaller Scale
Motion-Augmented Self-Training for Video Recognition at Smaller Scale
Kirill Gavrilyuk
Mihir Jain
I. Karmanov
Cees G. M. Snoek
18
21
0
04 May 2021
3D Human Action Representation Learning via Cross-View Consistency
  Pursuit
3D Human Action Representation Learning via Cross-View Consistency Pursuit
Linguo Li
Minsi Wang
Bingbing Ni
Hang Wang
Jiancheng Yang
Wenjun Zhang
141
156
0
29 Apr 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
368
5,811
0
29 Apr 2021
Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks
Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks
Tianjin Huang
Yulong Pei
Vlado Menkovski
Mykola Pechenizkiy
30
32
0
16 Apr 2021
Self-supervised Motion Learning from Static Images
Self-supervised Motion Learning from Static Images
Ziyuan Huang
Shiwei Zhang
Jianwen Jiang
Mingqian Tang
Rong Jin
M. Ang
SSL
16
29
0
01 Apr 2021
Can Vision Transformers Learn without Natural Images?
Can Vision Transformers Learn without Natural Images?
Kodai Nakashima
Hirokatsu Kataoka
Asato Matsumoto
K. Iwata
Nakamasa Inoue
ViT
28
34
0
24 Mar 2021
Beyond Self-Supervision: A Simple Yet Effective Network Distillation
  Alternative to Improve Backbones
Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve Backbones
Cheng Cui
Ruoyu Guo
Yuning Du
Dongliang He
Fu Li
...
Jizhou Huang
Xiaoguang Hu
Dianhai Yu
Errui Ding
Yanjun Ma
19
17
0
10 Mar 2021
Boosting Semi-supervised Image Segmentation with Global and Local Mutual
  Information Regularization
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization
Jizong Peng
M. Pedersoli
Christian Desrosiers
SSL
19
21
0
08 Mar 2021
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations
Xiang Gao
Wei Hu
Guo-Jun Qi
32
6
0
01 Mar 2021
Self-Supervised Features Improve Open-World Learning
Self-Supervised Features Improve Open-World Learning
A. Dhamija
T. Ahmad
Jonathan Schwan
Mohsen Jafarzadeh
Chunchun Li
Terrance E. Boult
SSL
32
13
0
15 Feb 2021
Train a One-Million-Way Instance Classifier for Unsupervised Visual
  Representation Learning
Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning
Yu Liu
Lianghua Huang
Pan Pan
Bin Wang
Yinghui Xu
Rong Jin
SSL
25
3
0
09 Feb 2021
Pre-training without Natural Images
Pre-training without Natural Images
Hirokatsu Kataoka
Kazushige Okayasu
Asato Matsumoto
Eisuke Yamagata
Ryosuke Yamada
Nakamasa Inoue
Akio Nakamura
Y. Satoh
81
117
0
21 Jan 2021
ISD: Self-Supervised Learning by Iterative Similarity Distillation
ISD: Self-Supervised Learning by Iterative Similarity Distillation
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Vipin Pillai
Paolo Favaro
Hamed Pirsiavash
SSL
27
44
0
16 Dec 2020
Heterogeneous Contrastive Learning: Encoding Spatial Information for
  Compact Visual Representations
Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations
Xinyue Huo
Lingxi Xie
Longhui Wei
Xiaopeng Zhang
Hao Li
Zijie Yang
Wen-gang Zhou
Houqiang Li
Qi Tian
SSL
14
13
0
19 Nov 2020
Learning a Geometric Representation for Data-Efficient Depth Estimation
  via Gradient Field and Contrastive Loss
Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field and Contrastive Loss
D. Shim
H. J. Kim
SSL
MDE
14
1
0
06 Nov 2020
Learning Visual Representations for Transfer Learning by Suppressing
  Texture
Learning Visual Representations for Transfer Learning by Suppressing Texture
Shlok Kumar Mishra
Anshul B. Shah
Ankan Bansal
Janit Anjaria
Jonghyun Choi
Abhinav Shrivastava
Abhishek Sharma
David Jacobs
SSL
39
11
0
03 Nov 2020
CompRess: Self-Supervised Learning by Compressing Representations
CompRess: Self-Supervised Learning by Compressing Representations
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Hamed Pirsiavash
SSL
23
89
0
28 Oct 2020
Quantifying Learnability and Describability of Visual Concepts Emerging
  in Representation Learning
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning
Iro Laina
Ruth C. Fong
Andrea Vedaldi
OCL
33
13
0
27 Oct 2020
i-Mix: A Domain-Agnostic Strategy for Contrastive Representation
  Learning
i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning
Kibok Lee
Yian Zhu
Kihyuk Sohn
Chun-Liang Li
Jinwoo Shin
Honglak Lee
SSL
33
26
0
17 Oct 2020
MS$^2$L: Multi-Task Self-Supervised Learning for Skeleton Based Action
  Recognition
MS2^22L: Multi-Task Self-Supervised Learning for Skeleton Based Action Recognition
Lilang Lin
Sijie Song
Wenhan Yang
Jiaying Liu
SSL
24
194
0
12 Oct 2020
Improving colonoscopy lesion classification using semi-supervised deep
  learning
Improving colonoscopy lesion classification using semi-supervised deep learning
M. Golhar
Taylor L. Bobrow
M. Khoshknab
S. Jit
S. Ngamruengphong
Nicholas J. Durr
SSL
16
16
0
07 Sep 2020
A Survey on Machine Learning from Few Samples
A Survey on Machine Learning from Few Samples
Jiang Lu
Pinghua Gong
Jieping Ye
Jianwei Zhang
Changshu Zhang
16
47
0
06 Sep 2020
Previous
1234
Next