Learning Deep Structure-Preserving Image-Text Embeddings
暂无分享,去创建一个
[1] Yann LeCun,et al. Signature Verification Using A "Siamese" Time Delay Neural Network , 1993, Int. J. Pattern Recognit. Artif. Intell..
[2] Steven Bird,et al. NLTK: The Natural Language Toolkit , 2002, ACL.
[3] John Shawe-Taylor,et al. Canonical Correlation Analysis: An Overview with Application to Learning Methods , 2004, Neural Computation.
[4] Kilian Q. Weinberger,et al. Distance Metric Learning for Large Margin Nearest Neighbor Classification , 2005, NIPS.
[5] Yann LeCun,et al. Learning a similarity metric discriminatively, with application to face verification , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[6] Jianguo Zhang,et al. The PASCAL Visual Object Classes Challenge , 2006 .
[7] Tony Jebara,et al. Structure preserving embedding , 2009, ICML '09.
[8] Thorsten Joachims,et al. Cutting-plane training of structural SVMs , 2009, Machine Learning.
[9] Thomas Mensink,et al. Improving the Fisher Kernel for Large-Scale Image Classification , 2010, ECCV.
[10] Jason Weston,et al. WSABIE: Scaling Up to Large Vocabulary Image Annotation , 2011, IJCAI.
[11] Juhan Nam,et al. Multimodal Deep Learning , 2011, ICML.
[12] Bert Huang,et al. Learning a Distance Metric from a Network , 2011, NIPS.
[13] Gabriela Csurka,et al. Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost , 2012, ECCV.
[14] Nitish Srivastava,et al. Multimodal learning with deep Boltzmann machines , 2012, J. Mach. Learn. Res..
[15] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[16] Marc'Aurelio Ranzato,et al. DeViSE: A Deep Visual-Semantic Embedding Model , 2013, NIPS.
[17] Michael Isard,et al. A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics , 2012, International Journal of Computer Vision.
[18] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[19] Jeff A. Bilmes,et al. Deep Canonical Correlation Analysis , 2013, ICML.
[20] Quoc V. Le,et al. Grounded Compositional Semantics for Finding and Describing Images with Sentences , 2014, TACL.
[21] Ruslan Salakhutdinov,et al. Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models , 2014, ArXiv.
[22] Peter Young,et al. From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions , 2014, TACL.
[23] Lior Wolf,et al. Fisher Vectors Derived from Hybrid Gaussian-Laplacian Mixture Models for Image Annotation , 2014, ArXiv.
[24] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[25] Armand Joulin,et al. Deep Fragment Embeddings for Bidirectional Image Sentence Mapping , 2014, NIPS.
[26] C. Lawrence Zitnick,et al. Edge Boxes: Locating Object Proposals from Edges , 2014, ECCV.
[27] Jiwen Lu,et al. Discriminative Deep Metric Learning for Face Verification in the Wild , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[28] Yang Song,et al. Learning Fine-Grained Image Similarity with Deep Ranking , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[29] Svetlana Lazebnik,et al. Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections , 2014, ECCV.
[30] Ruslan Salakhutdinov,et al. Multimodal Neural Language Models , 2014, ICML.
[31] Svetlana Lazebnik,et al. Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[32] Svetlana Lazebnik,et al. Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models , 2015, International Journal of Computer Vision.
[33] Lin Ma,et al. Multimodal Convolutional Neural Networks for Matching Image and Sentence , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[34] Geoffrey Zweig,et al. From captions to visual concepts and back , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Wei Xu,et al. Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question , 2015, NIPS.
[36] Yann LeCun,et al. Computing the stereo matching cost with a convolutional neural network , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Nir Ailon,et al. Deep Metric Learning Using Triplet Network , 2014, SIMBAD.
[38] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[39] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[40] Wei Xu,et al. Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN) , 2014, ICLR.
[41] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[42] Sanja Fidler,et al. Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[43] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[44] Rahul Sukthankar,et al. MatchNet: Unifying feature and metric learning for patch-based matching , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Margaret Mitchell,et al. VQA: Visual Question Answering , 2015, International Journal of Computer Vision.
[46] Dean P. Foster,et al. Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis , 2015, ICML.
[47] Licheng Yu,et al. Visual Madlibs: Fill in the blank Image Generation and Question Answering , 2015, ArXiv.
[48] Kavita Bala,et al. Learning visual similarity for product design with convolutional neural networks , 2015, ACM Trans. Graph..
[49] Samy Bengio,et al. Show and tell: A neural image caption generator , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[50] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[51] Krystian Mikolajczyk,et al. Deep correlation for matching images and text , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Trevor Darrell,et al. Long-term recurrent convolutional networks for visual recognition and description , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[53] Trevor Darrell,et al. Grounding of Textual Phrases in Images by Reconstruction , 2015, ECCV.
[54] Subhashini Venugopalan,et al. Translating Videos to Natural Language Using Deep Recurrent Neural Networks , 2014, NAACL.
[55] Fei-Fei Li,et al. Deep visual-semantic alignments for generating image descriptions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).