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TxT: Crossmodal End-to-End Learning with Transformers

TxT: Crossmodal End-to-End Learning with Transformers

9 September 2021
Jan-Martin O. Steitz
Jonas Pfeiffer
Iryna Gurevych
Stefan Roth
    LRM
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Papers citing "TxT: Crossmodal End-to-End Learning with Transformers"

4 / 4 papers shown
Title
A review of deep learning-based information fusion techniques for
  multimodal medical image classification
A review of deep learning-based information fusion techniques for multimodal medical image classification
Yi-Hsuan Li
Mostafa EL HABIB DAHO
Pierre-Henri Conze
Rachid Zeghlache
Hugo Le Boité
R. Tadayoni
B. Cochener
M. Lamard
G. Quellec
32
31
0
23 Apr 2024
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual
  Question Answering
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering
Violetta Shevchenko
Ehsan Abbasnejad
A. Dick
Anton Van Den Hengel
Damien Teney
49
0
0
29 Jun 2022
Supervised Multimodal Bitransformers for Classifying Images and Text
Supervised Multimodal Bitransformers for Classifying Images and Text
Douwe Kiela
Suvrat Bhooshan
Hamed Firooz
Ethan Perez
Davide Testuggine
59
241
0
06 Sep 2019
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
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