Simple Image Description Generator via a Linear Phrase-based Model
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Ronan Collobert | Pedro H. O. Pinheiro | Rémi Lebret | Pedro O. Pinheiro | Ronan Collobert | R. Lebret
[1] Andrew Zisserman,et al. Return of the Devil in the Details: Delving Deep into Convolutional Nets , 2014, BMVC.
[2] Ruslan Salakhutdinov,et al. Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models , 2014, ArXiv.
[3] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[4] Fei-Fei Li,et al. Deep visual-semantic alignments for generating image descriptions , 2015, CVPR.
[5] Wei Xu,et al. Explain Images with Multimodal Recurrent Neural Networks , 2014, ArXiv.
[6] Ronan Collobert,et al. Rehabilitation of Count-Based Models for Word Vector Representations , 2015, CICLing.
[7] Geoffrey Zweig,et al. From captions to visual concepts and back , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[9] Koray Kavukcuoglu,et al. Learning word embeddings efficiently with noise-contrastive estimation , 2013, NIPS.
[10] Xiang Zhang,et al. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks , 2013, ICLR.
[11] Salim Roukos,et al. Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.
[12] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[13] Samy Bengio,et al. Show and tell: A neural image caption generator , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.