Does language help generalization in vision models?

v1v2v3 (latest)

Does language help generalization in vision models?

16 April 2021

Benjamin Devillers

Romain Bielawski

ArXiv (abs)PDF HTML

Papers citing "Does language help generalization in vision models?"

19 / 19 papers shown

Title
LAGUNA: LAnguage Guided UNsupervised Adaptation with structured spaces Anxhelo Diko Antonino Furnari Luigi Cinque G. Farinella 321 0 0 23 Nov 2024
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 967 29,731 0 26 Feb 2021
Learning Visual Representations with Caption Annotations Mert Bulent Sariyildiz J. Perez Diane Larlus VLM SSL 99 160 0 04 Aug 2020
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor Aleksander Madry 81 425 0 16 Jul 2020
Self-Supervised MultiModal Versatile Networks Jean-Baptiste Alayrac Adrià Recasens R. Schneider Relja Arandjelović Jason Ramapuram J. Fauw Lucas Smaira Sander Dieleman Andrew Zisserman SSL 134 374 0 29 Jun 2020
VirTex: Learning Visual Representations from Textual Annotations Karan Desai Justin Johnson SSL VLM 160 436 0 11 Jun 2020
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 286 1,211 0 24 Dec 2019
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips Antoine Miech Dimitri Zhukov Jean-Baptiste Alayrac Makarand Tapaswi Ivan Laptev Josef Sivic VGen 115 1,200 0 07 Jun 2019
Adversarial Examples Are Not Bugs, They Are Features Andrew Ilyas Shibani Santurkar Dimitris Tsipras Logan Engstrom Brandon Tran Aleksander Madry SILM 91 1,843 0 06 May 2019
Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities Hai Pham Paul Pu Liang Thomas Manzini Louis-Philippe Morency Barnabás Póczós 71 412 0 19 Dec 2018
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 115 2,672 0 29 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,114 0 11 Oct 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,904 0 25 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 310 12,117 0 19 Jun 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Learning Visual Features from Large Weakly Supervised Data Armand Joulin Laurens van der Maaten Allan Jabri Nicolas Vasilache SSL 107 408 0 06 Nov 2015
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 419 43,777 0 01 May 2014
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 397 33,550 0 16 Oct 2013
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 680 31,538 0 16 Jan 2013