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We present ViLBERT (short for Vision-and-Language BERT), a model for learning task-agnostic joint representations of image content and natural language. We extend the popular BERT architecture to a multi-modal two-stream model, processing both visual and textual inputs in separate streams that interact through co-attentional transformer layers. We pretrain our model through two proxy tasks on the large, automatically collected Conceptual Captions dataset and then transfer it to multiple established vision-and-language tasks -- visual question answering, visual commonsense reasoning, referring expressions, and caption-based image retrieval -- by making only minor additions to the base architecture. We observe significant improvements across tasks compared to existing task-specific models -- achieving state-of-the-art on all four tasks. Our work represents a shift away from learning groundings between vision and language only as part of task training and towards treating visual grounding as a pretrainable and transferable capability.
Author Information
Jiasen Lu (Georgia Tech)
Dhruv Batra (Georgia Tech / Facebook AI Research (FAIR))
Devi Parikh (Georgia Tech / Facebook AI Research (FAIR))
Stefan Lee (Oregon State University)
More from the Same Authors
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2020 Poster: Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data »
Michael Cogswell · Jiasen Lu · Rishabh Jain · Stefan Lee · Devi Parikh · Dhruv Batra -
2019 Workshop: Visually Grounded Interaction and Language »
Florian Strub · Abhishek Das · Erik Wijmans · Harm de Vries · Stefan Lee · Alane Suhr · Dor Arad Hudson -
2019 Poster: Cross-channel Communication Networks »
Jianwei Yang · Zhile Ren · Chuang Gan · Hongyuan Zhu · Devi Parikh -
2019 Poster: RUBi: Reducing Unimodal Biases for Visual Question Answering »
Remi Cadene · Corentin Dancette · Hedi Ben younes · Matthieu Cord · Devi Parikh -
2019 Poster: Chasing Ghosts: Instruction Following as Bayesian State Tracking »
Peter Anderson · Ayush Shrivastava · Devi Parikh · Dhruv Batra · Stefan Lee -
2018 Workshop: Visually grounded interaction and language »
Florian Strub · Harm de Vries · Erik Wijmans · Samyak Datta · Ethan Perez · Mateusz Malinowski · Stefan Lee · Peter Anderson · Aaron Courville · Jeremie MARY · Dhruv Batra · Devi Parikh · Olivier Pietquin · Chiori HORI · Tim Marks · Anoop Cherian -
2018 Poster: Overcoming Language Priors in Visual Question Answering with Adversarial Regularization »
Sainandan Ramakrishnan · Aishwarya Agrawal · Stefan Lee -
2017 Workshop: Visually grounded interaction and language »
Florian Strub · Harm de Vries · Abhishek Das · Satwik Kottur · Stefan Lee · Mateusz Malinowski · Olivier Pietquin · Devi Parikh · Dhruv Batra · Aaron Courville · Jeremie Mary -
2017 Poster: Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model »
Jiasen Lu · Anitha Kannan · Jianwei Yang · Devi Parikh · Dhruv Batra -
2016 Poster: Hierarchical Question-Image Co-Attention for Visual Question Answering »
Jiasen Lu · Jianwei Yang · Dhruv Batra · Devi Parikh -
2016 Poster: Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles »
Stefan Lee · Senthil Purushwalkam · Michael Cogswell · Viresh Ranjan · David Crandall · Dhruv Batra -
2015 Poster: SubmodBoxes: Near-Optimal Search for a Set of Diverse Object Proposals »
Qing Sun · Dhruv Batra -
2014 Workshop: Discrete Optimization in Machine Learning »
Jeffrey A Bilmes · Andreas Krause · Stefanie Jegelka · S Thomas McCormick · Sebastian Nowozin · Yaron Singer · Dhruv Batra · Volkan Cevher -
2014 Poster: Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets »
Adarsh Prasad · Stefanie Jegelka · Dhruv Batra -
2014 Spotlight: Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets »
Adarsh Prasad · Stefanie Jegelka · Dhruv Batra -
2012 Poster: Multiple Choice Learning: Learning to Produce Multiple Structured Outputs »
Abner Guzmán-Rivera · Dhruv Batra · Pushmeet Kohli -
2011 Workshop: Beyond Mahalanobis: Supervised Large-Scale Learning of Similarity »
Greg Shakhnarovich · Dhruv Batra · Brian Kulis · Kilian Q Weinberger -
2011 Poster: Understanding the Intrinsic Memorability of Images »
Phillip Isola · Devi Parikh · Antonio Torralba · Aude Oliva