Don't only Feel Read: Using Scene text to understand advertisements

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Don't only Feel Read: Using Scene text to understand advertisements

21 June 2018

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Papers citing "Don't only Feel Read: Using Scene text to understand advertisements"

9 / 9 papers shown

Title
MUTAN: Multimodal Tucker Fusion for Visual Question Answering H. Ben-younes Rémi Cadène Matthieu Cord Nicolas Thome 171 583 0 18 May 2017
TextBoxes: A Fast Text Detector with a Single Deep Neural Network Minghui Liao Baoguang Shi X. Bai Xinggang Wang Wenyu Liu 75 870 0 21 Nov 2016
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding Akira Fukui Dong Huk Park Daylen Yang Anna Rohrbach Trevor Darrell Marcus Rohrbach 314 1,467 0 06 Jun 2016
Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes Satwik Kottur Ramakrishna Vedantam José M. F. Moura Devi Parikh VLM 89 85 0 22 Nov 2015
Reading Text in the Wild with Convolutional Neural Networks Max Jaderberg Karen Simonyan Andrea Vedaldi Andrew Zisserman 127 1,166 0 04 Dec 2014
Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models Ryan Kiros Ruslan Salakhutdinov R. Zemel VLM 133 1,401 0 10 Nov 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 494 43,717 0 17 Sep 2014
Distributed Representations of Sentences and Documents Quoc V. Le Tomas Mikolov FaML 265 9,250 0 16 May 2014
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 693 31,553 0 16 Jan 2013

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