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Cross and Learn: Cross-Modal Self-Supervision

Cross and Learn: Cross-Modal Self-Supervision

9 November 2018
Nawid Sayed
Biagio Brattoli
Bjorn Ommer
    SSL
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Papers citing "Cross and Learn: Cross-Modal Self-Supervision"

19 / 19 papers shown
Title
Information Theory-Guided Heuristic Progressive Multi-View Coding
Information Theory-Guided Heuristic Progressive Multi-View Coding
Jiangmeng Li
Hang Gao
Wenwen Qiang
Changwen Zheng
22
2
0
21 Aug 2023
How do Cross-View and Cross-Modal Alignment Affect Representations in
  Contrastive Learning?
How do Cross-View and Cross-Modal Alignment Affect Representations in Contrastive Learning?
Thomas M. Hehn
Julian F. P. Kooij
D. Gavrila
SSL
26
0
0
23 Nov 2022
Multimodality Multi-Lead ECG Arrhythmia Classification using
  Self-Supervised Learning
Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning
Thi-Thu-Hong Phan
Duc Le
Brijesh Patel
Donald Adjeroh
Jingxian Wu
M. Jensen
Ngan Le
30
11
0
30 Sep 2022
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical
  Segmentation on Less Labeled Data
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data
Minh-Khoi Tran
Loi Ly
Binh-Son Hua
Ngan Le
3DPC
MedIm
30
17
0
15 Jan 2022
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
Bridging the Gap between Events and Frames through Unsupervised Domain
  Adaptation
Bridging the Gap between Events and Frames through Unsupervised Domain Adaptation
Nico Messikommer
Daniel Gehrig
Mathias Gehrig
Davide Scaramuzza
28
43
0
06 Sep 2021
CoCon: Cooperative-Contrastive Learning
CoCon: Cooperative-Contrastive Learning
Nishant Rai
Ehsan Adeli
Kuan-Hui Lee
Adrien Gaidon
Juan Carlos Niebles
SSL
20
18
0
30 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 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
Transformers in Vision: A Survey
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
Fahad Shahbaz Khan
M. Shah
ViT
227
2,431
0
04 Jan 2021
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for
  RGB-D Scene Understanding
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding
Yunze Liu
Li Yi
Shanghang Zhang
Qingnan Fan
Thomas Funkhouser
Hao Dong
SSL
39
58
0
24 Dec 2020
A Survey on Contrastive Self-supervised Learning
A Survey on Contrastive Self-supervised Learning
Ashish Jaiswal
Ashwin Ramesh Babu
Mohammad Zaki Zadeh
Debapriya Banerjee
F. Makedon
SSL
33
1,360
0
31 Oct 2020
LT-GAN: Self-Supervised GAN with Latent Transformation Detection
LT-GAN: Self-Supervised GAN with Latent Transformation Detection
Parth Patel
Nupur Kumari
M. Singh
Balaji Krishnamurthy
19
19
0
19 Oct 2020
How Useful is Self-Supervised Pretraining for Visual Tasks?
How Useful is Self-Supervised Pretraining for Visual Tasks?
Alejandro Newell
Jia Deng
SSL
25
136
0
31 Mar 2020
Rethinking Zero-shot Video Classification: End-to-end Training for
  Realistic Applications
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
Biagio Brattoli
Joseph Tighe
Fedor Zhdanov
Pietro Perona
Krzysztof Chalupka
VLM
137
127
0
03 Mar 2020
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
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
91
2,367
0
13 Jun 2019
Revisiting Self-Supervised Visual Representation Learning
Revisiting Self-Supervised Visual Representation Learning
Alexander Kolesnikov
Xiaohua Zhai
Lucas Beyer
SSL
51
715
0
25 Jan 2019
Boosting Self-Supervised Learning via Knowledge Transfer
Boosting Self-Supervised Learning via Knowledge Transfer
M. Noroozi
Ananth Vinjimoor
Paolo Favaro
Hamed Pirsiavash
SSL
215
292
0
01 May 2018
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