Self-attention and adversary learning deep hashing network for cross-modal retrieval

[1]  Dongqing Zhang,et al.  Large-Scale Supervised Multimodal Hashing with Semantic Correlation Maximization , 2014, AAAI.

[2]  Xinbo Gao,et al.  Triplet-Based Deep Hashing Network for Cross-Modal Retrieval , 2018, IEEE Transactions on Image Processing.

[3]  Yueting Zhuang,et al.  Multi-modal Mutual Topic Reinforce Modeling for Cross-media Retrieval , 2014, ACM Multimedia.

[4]  Tat-Seng Chua,et al.  NUS-WIDE: a real-world web image database from National University of Singapore , 2009, CIVR '09.

[5]  Yoshua Bengio,et al.  Generative Adversarial Nets , 2014, NIPS.

[6]  Han Zhang,et al.  Self-Attention Generative Adversarial Networks , 2018, ICML.

[7]  Wei Liu,et al.  Discrete Graph Hashing , 2014, NIPS.

[8]  Mohammed Bennamoun,et al.  Image-Based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Mark J. Huiskes,et al.  The MIR flickr retrieval evaluation , 2008, MIR '08.

[10]  Lijuan Wang,et al.  Pyramid Constrained Self-Attention Network for Fast Video Salient Object Detection , 2020, AAAI.

[11]  Michael S. Bernstein,et al.  ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.

[12]  Ali I. El-Desouky,et al.  An efficient fast-response content-based image retrieval framework for big data , 2016, Comput. Electr. Eng..

[13]  Gerard Deepak,et al.  Personalized and Enhanced Hybridized Semantic Algorithm for web image retrieval incorporating ontology classification, strategic query expansion, and content-based analysis , 2018, Comput. Electr. Eng..

[14]  Erwin M. Bakker,et al.  Self-constraining and attention-based hashing network for bit-scalable cross-modal retrieval , 2020, Neurocomputing.

[15]  Jian Pei,et al.  Parallel field alignment for cross media retrieval , 2013, ACM Multimedia.