Mind Your Neighbours: Image Annotation With Metadata Neighbourhood Graph Co-Attention Networks
暂无分享,去创建一个
Junjie Zhang | Chunhua Shen | Jianfeng Lu | Qi Wu | Jian Zhang | Chunhua Shen | Junjie Zhang | Jian Zhang | Qi Wu | Jianfeng Lu
[1] Nenghai Yu,et al. Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[3] Bingbing Ni,et al. HCP: A Flexible CNN Framework for Multi-Label Image Classification , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Tat-Seng Chua,et al. NUS-WIDE: a real-world web image database from National University of Singapore , 2009, CIVR '09.
[5] Alberto Del Bimbo,et al. Socializing the Semantic Gap , 2015, ACM Comput. Surv..
[6] Vladimir Pavlovic,et al. Baselines for Image Annotation , 2010, International Journal of Computer Vision.
[7] Ah Chung Tsoi,et al. The Graph Neural Network Model , 2009, IEEE Transactions on Neural Networks.
[8] Abhinav Gupta,et al. Videos as Space-Time Region Graphs , 2018, ECCV.
[9] Léon Bottou,et al. Large-Scale Machine Learning with Stochastic Gradient Descent , 2010, COMPSTAT.
[10] Cordelia Schmid,et al. TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[11] Kristen Grauman,et al. Predicting Useful Neighborhoods for Lazy Local Learning , 2014, NIPS.
[12] Richard S. Zemel,et al. Gated Graph Sequence Neural Networks , 2015, ICLR.
[13] Feiran Huang,et al. Learning Social Image Embedding with Deep Multimodal Attention Networks , 2017, ACM Multimedia.
[14] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[15] Xin Li,et al. Multi-label Image Classification with A Probabilistic Label Enhancement Model , 2014, UAI.
[16] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Daniel P. Huttenlocher,et al. Landmark classification in large-scale image collections , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[18] Junbin Gao,et al. Learning graph structure for multi-label image classification via clique generation , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[20] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[21] Michael Isard,et al. A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics , 2012, International Journal of Computer Vision.
[22] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[23] Alberto Del Bimbo,et al. A Cross-media Model for Automatic Image Annotation , 2014, ICMR.
[24] Yangqing Jia,et al. Deep Convolutional Ranking for Multilabel Image Annotation , 2013, ICLR.
[25] Matthijs C. Dorst. Distinctive Image Features from Scale-Invariant Keypoints , 2011 .
[26] Jure Leskovec,et al. Image Labeling on a Network: Using Social-Network Metadata for Image Classification , 2012, ECCV.
[27] Trevor Darrell,et al. Autotagging Facebook: Social network context improves photo annotation , 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[28] Wei Xu,et al. CNN-RNN: A Unified Framework for Multi-label Image Classification , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Mark J. Huiskes,et al. The MIR flickr retrieval evaluation , 2008, MIR '08.
[30] Nitish Srivastava,et al. Multimodal learning with deep Boltzmann machines , 2012, J. Mach. Learn. Res..
[31] Lamberto Ballan,et al. Love Thy Neighbors: Image Annotation by Exploiting Image Metadata , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[32] Jiebo Luo,et al. Using Geotags to Derive Rich Tag-Clouds for Image Annotation , 2011, Social Media Modeling and Computing.