Partial-Softmax Loss based Deep Hashing
暂无分享,去创建一个
[1] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[2] Venkatesh Saligrama,et al. Efficient Training of Very Deep Neural Networks for Supervised Hashing , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Xian-Ling Mao,et al. Object Detection based Deep Unsupervised Hashing , 2019, IJCAI.
[4] Dacheng Tao,et al. DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Qi Qian,et al. SoftTriple Loss: Deep Metric Learning Without Triplet Sampling , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[6] Trevor Darrell,et al. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition , 2013, ICML.
[7] Tao Mei,et al. Deep Semantic Hashing with Generative Adversarial Networks , 2017, SIGIR.
[8] Xin Luo,et al. Discrete Hashing With Multiple Supervision , 2019, IEEE Transactions on Image Processing.
[9] Sinno Jialin Pan,et al. Class-Wise Supervised Hashing with Label Embedding and Active Bits , 2016, IJCAI.
[10] Wei Liu,et al. Semantic Structure-based Unsupervised Deep Hashing , 2018, IJCAI.
[11] Tat-Seng Chua,et al. NUS-WIDE: a real-world web image database from National University of Singapore , 2009, CIVR '09.
[12] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[13] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[14] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[15] Xianling Mao,et al. MLS3RDUH: Deep Unsupervised Hashing via Manifold based Local Semantic Similarity Structure Reconstructing , 2020, IJCAI.
[16] Rongrong Ji,et al. Supervised hashing with kernels , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Jianmin Wang,et al. Deep Hashing Network for Efficient Similarity Retrieval , 2016, AAAI.
[18] Cheng Deng,et al. Unsupervised Deep Generative Adversarial Hashing Network , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[19] Dan Wang,et al. Supervised Deep Hashing for Hierarchical Labeled Data , 2017, AAAI.
[20] Jen-Hao Hsiao,et al. Deep learning of binary hash codes for fast image retrieval , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[21] Piotr Indyk,et al. Similarity Search in High Dimensions via Hashing , 1999, VLDB.
[22] Jia Wang,et al. Unsupervised Triplet Hashing for Fast Image Retrieval , 2017, ACM Multimedia.
[23] Jianmin Wang,et al. Deep Cauchy Hashing for Hamming Space Retrieval , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[24] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[25] Antonio Torralba,et al. Spectral Hashing , 2008, NIPS.
[26] Sinno Jialin Pan,et al. Accelerate Learning of Deep Hashing With Gradient Attention , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[27] Wei Liu,et al. Discrete Graph Hashing , 2014, NIPS.
[28] Christoph H. Lampert,et al. Learning to detect unseen object classes by between-class attribute transfer , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[29] Ladan Tahvildari,et al. Deep Spherical Quantization for Image Search , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Jiwen Lu,et al. Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Svetlana Lazebnik,et al. Iterative quantization: A procrustean approach to learning binary codes , 2011, CVPR 2011.
[32] Bin Liu,et al. Deep Triplet Quantization , 2018, ACM Multimedia.
[33] Jiashi Feng,et al. Central Similarity Quantization for Efficient Image and Video Retrieval , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Wen Gao,et al. Affinity preserving quantization for hashing: a vector quantization approach to learning compact binary codes , 2016, AAAI 2016.
[35] Hanjiang Lai,et al. Supervised Hashing for Image Retrieval via Image Representation Learning , 2014, AAAI.
[36] Tao Mei,et al. Deep Semantic-Preserving and Ranking-Based Hashing for Image Retrieval , 2016, IJCAI.
[37] Wei Liu,et al. Supervised Discrete Hashing , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Ian D. Reid,et al. Fast Training of Triplet-Based Deep Binary Embedding Networks , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[39] Philip S. Yu,et al. Maximum-Margin Hamming Hashing , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[40] Wu-Jun Li,et al. Scalable Graph Hashing with Feature Transformation , 2015, IJCAI.
[41] Wu-Jun Li,et al. Feature Learning Based Deep Supervised Hashing with Pairwise Labels , 2015, IJCAI.
[42] Shih-Fu Chang,et al. Circulant Binary Embedding , 2014, ICML.
[43] Chao Li,et al. Deep Joint Semantic-Embedding Hashing , 2018, IJCAI.
[44] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[45] Philip S. Yu,et al. HashNet: Deep Learning to Hash by Continuation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).