Group-Group Loss-Based Global-Regional Feature Learning for Vehicle Re-Identification
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Xiaoyu Wang | Qi Tian | Xiaobin Liu | Shiliang Zhang | Richang Hong | Xiaoyu Wang | Q. Tian | Richang Hong | Shiliang Zhang | Xiaobin Liu
[1] Qi Tian,et al. Scalable Person Re-identification on Supervised Smoothed Manifold , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Yu Qiao,et al. A Discriminative Feature Learning Approach for Deep Face Recognition , 2016, ECCV.
[3] Dong Liu,et al. Improving triplet-wise training of convolutional neural network for vehicle re-identification , 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME).
[4] Jian Cheng,et al. NormFace: L2 Hypersphere Embedding for Face Verification , 2017, ACM Multimedia.
[5] Victor S. Lempitsky,et al. Learning Deep Embeddings with Histogram Loss , 2016, NIPS.
[6] Yongdong Zhang,et al. One-Shot Fine-Grained Instance Retrieval , 2017, ACM Multimedia.
[7] Kaiqi Huang,et al. Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Huchuan Lu,et al. Deep Mutual Learning , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[9] Cordelia Schmid,et al. Learning Color Names for Real-World Applications , 2009, IEEE Transactions on Image Processing.
[10] Yi Yang,et al. Camera Style Adaptation for Person Re-identification , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[11] Longhui Wei,et al. Person Transfer GAN to Bridge Domain Gap for Person Re-identification , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[12] Yongdong Zhang,et al. Large-scale person re-identification as retrieval , 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME).
[13] Tao Mei,et al. PROVID: Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance , 2018, IEEE Transactions on Multimedia.
[14] Shiguang Shan,et al. Deep Supervised Hashing for Fast Image Retrieval , 2016, International Journal of Computer Vision.
[15] Tao Mei,et al. A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance , 2016, ECCV.
[16] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[17] Tiejun Huang,et al. Deep Relative Distance Learning: Tell the Difference between Similar Vehicles , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Dong Liu,et al. Multi-Scale Triplet CNN for Person Re-Identification , 2016, ACM Multimedia.
[19] Shiliang Zhang,et al. Pose-Driven Deep Convolutional Model for Person Re-identification , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[20] Yi Yang,et al. Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[21] Xiaoou Tang,et al. A large-scale car dataset for fine-grained categorization and verification , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Gustavo Carneiro,et al. Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global Loss Functions , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Adam Herout,et al. BoxCars: 3D Boxes as CNN Input for Improved Fine-Grained Vehicle Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Yongdong Zhang,et al. AutoBD: Automated Bi-Level Description for Scalable Fine-Grained Visual Categorization , 2018, IEEE Transactions on Image Processing.
[25] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[26] Xiaogang Wang,et al. Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[27] Keinosuke Fukunaga,et al. Introduction to Statistical Pattern Recognition , 1972 .
[28] Jonathan Krause,et al. 3D Object Representations for Fine-Grained Categorization , 2013, 2013 IEEE International Conference on Computer Vision Workshops.
[29] Di Wu,et al. Multi-modal metric learning for vehicle re-identification in traffic surveillance environment , 2017, 2017 IEEE International Conference on Image Processing (ICIP).
[30] Tao Mei,et al. Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Chen Huang,et al. Local Similarity-Aware Deep Feature Embedding , 2016, NIPS.
[32] Shaogang Gong,et al. Person Re-Identification by Deep Joint Learning of Multi-Loss Classification , 2017, IJCAI.
[33] Xing Ji,et al. CosFace: Large Margin Cosine Loss for Deep Face Recognition , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[34] Yonghong Tian,et al. Learning a Repression Network for Precise Vehicle Search , 2017, ArXiv.
[35] Yongdong Zhang,et al. Coarse-to-Fine Description for Fine-Grained Visual Categorization , 2016, IEEE Transactions on Image Processing.
[36] Jiwen Lu,et al. Consistent-Aware Deep Learning for Person Re-identification in a Camera Network , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Andrew Zisserman,et al. Return of the Devil in the Details: Delving Deep into Convolutional Nets , 2014, BMVC.
[38] Xiaogang Wang,et al. Unsupervised Salience Learning for Person Re-identification , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[39] Wu Liu,et al. Large-scale vehicle re-identification in urban surveillance videos , 2016, 2016 IEEE International Conference on Multimedia and Expo (ICME).
[40] Ling Shao,et al. Viewpoint-Aware Attentive Multi-view Inference for Vehicle Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[41] Lucas Beyer,et al. In Defense of the Triplet Loss for Person Re-Identification , 2017, ArXiv.
[42] Matthijs C. Dorst. Distinctive Image Features from Scale-Invariant Keypoints , 2011 .
[43] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[44] Shiliang Zhang,et al. BoWs : An End-to-End Bag-of-Words Model via Deep Convolutional Neural Network , 2017 .
[45] Nanning Zheng,et al. Large Margin Learning in Set-to-Set Similarity Comparison for Person Reidentification , 2017, IEEE Transactions on Multimedia.
[46] Ming Yang,et al. Self-Guided Hash Coding for Large-Scale Person Re-identification , 2019, 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).
[47] Hongfei Yan,et al. Deep joint discriminative learning for vehicle re-identification and retrieval , 2017, 2017 IEEE International Conference on Image Processing (ICIP).
[48] Yi Yang,et al. A Discriminatively Learned CNN Embedding for Person Reidentification , 2016, ACM Trans. Multim. Comput. Commun. Appl..
[49] Feng Zhou,et al. Embedding Label Structures for Fine-Grained Feature Representation , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[50] Avinash C. Kak,et al. PCA versus LDA , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[51] Kaiqi Huang,et al. Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Xiaogang Wang,et al. Person Re-identification by Salience Matching , 2013, 2013 IEEE International Conference on Computer Vision.
[53] Shaogang Gong,et al. Person Re-identification by Deep Learning Multi-scale Representations , 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).
[54] Shiliang Zhang,et al. RAM: A Region-Aware Deep Model for Vehicle Re-Identification , 2018, 2018 IEEE International Conference on Multimedia and Expo (ICME).
[55] Q. Tian,et al. GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval , 2017, ACM Multimedia.
[56] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[57] Ling Shao,et al. Vehicle Re-Identification by Deep Hidden Multi-View Inference , 2018, IEEE Transactions on Image Processing.
[58] Jingdong Wang,et al. Deeply-Learned Part-Aligned Representations for Person Re-identification , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[59] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[60] Nanning Zheng,et al. Point to Set Similarity Based Deep Feature Learning for Person Re-Identification , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[61] Xiu-Shen Wei,et al. Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval , 2016, IEEE Transactions on Image Processing.
[62] Jian Wang,et al. Deep Metric Learning with Angular Loss , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[63] Stephen Lin,et al. Graph Embedding and Extensions: A General Framework for Dimensionality Reduction , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[64] Yifan Sun,et al. SVDNet for Pedestrian Retrieval , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[65] Qi Tian,et al. Scalable Person Re-identification: A Benchmark , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[66] Jian-Huang Lai,et al. Person Re-Identification by Camera Correlation Aware Feature Augmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[67] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[68] Longhui Wei,et al. VP-ReID: Vehicle and Person Re-Identification System , 2018, ICMR.
[69] Xiaogang Wang,et al. Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-Temporal Path Proposals , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[70] Shiliang Zhang,et al. SCAN: Spatial and Channel Attention Network for Vehicle Re-Identification , 2018, PCM.
[71] Chao Zhang,et al. Hard-Aware Deeply Cascaded Embedding , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[72] S. Gong,et al. KANACI, ZHU, GONG: VEHICLE RE-ID BY FINE-GRAINED CROSS-LEVEL DEEP LEARNING1 Vehicle Re-Identification by Fine-Grained Cross-Level Deep Learning , 2017 .
[73] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[74] Larry S. Davis,et al. Jointly Optimizing 3D Model Fitting and Fine-Grained Classification , 2014, ECCV.