A Multi-World Approach to Question Answering about Real-World Scenes
based on Uncertain Input

A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input

1 October 2014

Mateusz Malinowski

Mario Fritz

Papers citing "A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input"

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Title
ViTextVQA: A Large-Scale Visual Question Answering Dataset for Evaluating Vietnamese Text Comprehension in Images Quan Van Nguyen Dan Quang Tran Huy Quang Pham Thang Kien-Bao Nguyen Nghia Hieu Nguyen Kiet Van Nguyen Ngan Luu-Thuy Nguyen CoGe 89 5 0 16 Apr 2024
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping A. Karpathy Armand Joulin Li Fei-Fei VLM 70 935 0 22 Jun 2014
A Joint Model of Language and Perception for Grounded Attribute Learning Cynthia Matuszek Nicholas FitzGerald Luke Zettlemoyer Liefeng Bo Dieter Fox LM&Ro 65 316 0 27 Jun 2012
Learning Dependency-Based Compositional Semantics Percy Liang Michael I. Jordan Dan Klein CoGe 80 610 0 30 Sep 2011
Scalable Probabilistic Databases with Factor Graphs and MCMC Michael L. Wick Andrew McCallum G. Miklau 108 92 0 11 May 2010