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CLIP-Lite: Information Efficient Visual Representation Learning with
  Language Supervision

CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision

14 December 2021
A. Shrivastava
Ramprasaath R. Selvaraju
Nikhil Naik
Vicente Ordonez
    VLM
    CLIP
ArXivPDFHTML

Papers citing "CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision"

15 / 15 papers shown
Title
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
Bowen Deng
Tong Wang
Lele Fu
Sheng Huang
Chuan Chen
Tao Zhang
112
1
0
17 Feb 2025
Learning Visual Representations with Caption Annotations
Learning Visual Representations with Caption Annotations
Mert Bulent Sariyildiz
J. Perez
Diane Larlus
VLM
SSL
45
159
0
04 Aug 2020
Space-Time Correspondence as a Contrastive Random Walk
Space-Time Correspondence as a Contrastive Random Walk
Allan Jabri
Andrew Owens
Alexei A. Efros
SSL
OT
48
295
0
25 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
233
6,718
0
13 Jun 2020
On Mutual Information in Contrastive Learning for Visual Representations
On Mutual Information in Contrastive Learning for Visual Representations
Mike Wu
Chengxu Zhuang
Milan Mossé
Daniel L. K. Yamins
Noah D. Goodman
SSL
34
83
0
27 May 2020
What Makes for Good Views for Contrastive Learning?
What Makes for Good Views for Contrastive Learning?
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
SSL
56
1,313
0
20 May 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
405
3,397
0
09 Mar 2020
Natural Adversarial Examples
Natural Adversarial Examples
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
D. Song
OODD
153
1,454
0
16 Jul 2019
Learning Representations by Maximizing Mutual Information Across Views
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman
R. Devon Hjelm
William Buchwalter
SSL
138
1,463
0
03 Jun 2019
Formal Limitations on the Measurement of Mutual Information
Formal Limitations on the Measurement of Mutual Information
David A. McAllester
K. Stratos
SSL
46
275
0
10 Nov 2018
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
192
8,030
0
13 Aug 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence
  Minimization
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin
Botond Cseke
Ryota Tomioka
GAN
57
1,648
0
02 Jun 2016
Microsoft COCO Captions: Data Collection and Evaluation Server
Microsoft COCO Captions: Data Collection and Evaluation Server
Xinlei Chen
Hao Fang
Nayeon Lee
Ramakrishna Vedantam
Saurabh Gupta
Piotr Dollar
C. L. Zitnick
132
2,461
0
01 Apr 2015
Deep Learning and the Information Bottleneck Principle
Deep Learning and the Information Bottleneck Principle
Naftali Tishby
Noga Zaslavsky
DRL
79
1,570
0
09 Mar 2015
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
496
31,406
0
16 Jan 2013
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