Self-Attention and Adversary Guided Hashing Network for Cross-Modal Retrieval
暂无分享,去创建一个
[1] Mark J. Huiskes,et al. The MIR flickr retrieval evaluation , 2008, MIR '08.
[2] Shaogang Gong,et al. Harmonious Attention Network for Person Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[3] Bo Li,et al. HashGAN: Attention-aware Deep Adversarial Hashing for Cross Modal Retrieval , 2017, ArXiv.
[4] Yueting Zhuang,et al. Supervised Coupled Dictionary Learning with Group Structures for Multi-modal Retrieval , 2013, AAAI.
[5] Trevor Darrell,et al. Learning cross-modality similarity for multinomial data , 2011, 2011 International Conference on Computer Vision.
[6] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] 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.
[8] Xiaoyan Gu,et al. Adversary Guided Asymmetric Hashing for Cross-Modal Retrieval , 2019, ICMR.
[9] Pengfei Zhang,et al. Semi-Relaxation Supervised Hashing for Cross-Modal Retrieval , 2017, ACM Multimedia.
[10] Yang Yang,et al. Adversarial Cross-Modal Retrieval , 2017, ACM Multimedia.
[11] Beng Chin Ooi,et al. Effective deep learning-based multi-modal retrieval , 2015, The VLDB Journal.
[12] Wei Liu,et al. Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[13] Xin-Shun Xu. Dictionary Learning Based Hashing for Cross-Modal Retrieval , 2016, ACM Multimedia.
[14] Armand Joulin,et al. Deep Fragment Embeddings for Bidirectional Image Sentence Mapping , 2014, NIPS.
[15] Jian Pei,et al. Parallel field alignment for cross media retrieval , 2013, ACM Multimedia.
[16] Natalia Gimelshein,et al. PyTorch: An Imperative Style, High-Performance Deep Learning Library , 2019, NeurIPS.
[17] Erwin M. Bakker,et al. Self-constraining and attention-based hashing network for bit-scalable cross-modal retrieval , 2020, Neurocomputing.
[18] Wei Liu,et al. Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval , 2017, AAAI.
[19] Jian Wang,et al. Image-Text Cross-Modal Retrieval via Modality-Specific Feature Learning , 2015, ICMR.
[20] LazebnikSvetlana,et al. A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics , 2014 .
[21] Chenggang Yan,et al. Deep Multi-View Enhancement Hashing for Image Retrieval , 2020, IEEE transactions on pattern analysis and machine intelligence.
[22] Zi Huang,et al. Inter-media hashing for large-scale retrieval from heterogeneous data sources , 2013, SIGMOD '13.
[23] Guiguang Ding,et al. Latent semantic sparse hashing for cross-modal similarity search , 2014, SIGIR.
[24] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[25] Tat-Seng Chua,et al. NUS-WIDE: a real-world web image database from National University of Singapore , 2009, CIVR '09.
[26] Bin Liu,et al. Cross-Modal Hamming Hashing , 2018, ECCV.
[27] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[28] Wei Liu,et al. Discrete Graph Hashing , 2014, NIPS.
[29] Jianmin Wang,et al. Collective Deep Quantization for Efficient Cross-Modal Retrieval , 2017, AAAI.
[30] Michael S. Lew,et al. Deep learning for visual understanding: A review , 2016, Neurocomputing.
[31] Yuxin Peng,et al. Unsupervised Generative Adversarial Cross-modal Hashing , 2017, AAAI.
[32] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[33] Jianmin Wang,et al. Semantics-preserving hashing for cross-view retrieval , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Xinbo Gao,et al. Triplet-Based Deep Hashing Network for Cross-Modal Retrieval , 2018, IEEE Transactions on Image Processing.
[35] Guiguang Ding,et al. Collective Matrix Factorization Hashing for Multimodal Data , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[36] Jianmin Wang,et al. Correlation Hashing Network for Efficient Cross-Modal Retrieval , 2016, BMVC.
[37] Wu-Jun Li,et al. Deep Cross-Modal Hashing , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Yueting Zhuang,et al. Multi-modal Mutual Topic Reinforce Modeling for Cross-media Retrieval , 2014, ACM Multimedia.
[39] Dongqing Zhang,et al. Large-Scale Supervised Multimodal Hashing with Semantic Correlation Maximization , 2014, AAAI.
[40] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[41] Alexander J. Smola,et al. Stacked Attention Networks for Image Question Answering , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[42] David J. Fleet,et al. Minimal Loss Hashing for Compact Binary Codes , 2011, ICML.