6.2k citations · 8.4k across the 16 of their papers we have counts for
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cs.CV2015
Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes
Satwik Kottur, Ramakrishna Vedantam, José M. F. Moura +1
We propose a model to learn visually grounded word embeddings (vis-w2v) to capture visual notions of semantic relatedness. While word embeddings trained using text have been extrem…
cs.CV2015★ 1.6k cited
Microsoft COCO Captions: Data Collection and Evaluation Server
Xinlei Chen, Hao Fang, Tsung-Yi Lin +4
In this paper we describe the Microsoft COCO Caption dataset and evaluation server. When completed, the dataset will contain over one and a half million captions describing over 33…