Going Beyond Real Data: A Robust Visual Representation for Vehicle Re-identification
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Yi Yang | Xiao Tan | Shilei Wen | Errui Ding | Zhigang Wang | Minyue Jiang | Zhedong Zheng | Jian Wang | Zechen Bai | Xuanmeng Zhang | Xin Yu | Errui Ding | Zhedong Zheng | Yi Yang | Xin Yu | Shilei Wen | Zechen Bai | Zhigang Wang | Jian Wang | Xiao Tan | Minyue Jiang | Xuanmeng Zhang
[1] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[2] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[3] Alexei A. Efros,et al. Toward Multimodal Image-to-Image Translation , 2017, NIPS.
[4] 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.
[5] Frank Hutter,et al. SGDR: Stochastic Gradient Descent with Warm Restarts , 2016, ICLR.
[6] Farzin Aghdasi,et al. Vehicle Re-identification: an Efficient Baseline Using Triplet Embedding , 2019, 2019 International Joint Conference on Neural Networks (IJCNN).
[7] Lucas Beyer,et al. In Defense of the Triplet Loss for Person Re-Identification , 2017, ArXiv.
[8] Shuo Wang,et al. PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[9] Quoc V. Le,et al. AutoAugment: Learning Augmentation Strategies From Data , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Qi Wang,et al. Self-attention Learning for Person Re-identification , 2018, BMVC.
[11] Hans-Peter Kriegel,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.
[12] Qi Tian,et al. Person Re-identification Meets Image Search , 2015, ArXiv.
[13] Zhedong Zheng,et al. Joint Discriminative and Generative Learning for Person Re-Identification , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Wei Zeng,et al. Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[15] Jenq-Neng Hwang,et al. CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Kaiming He,et al. Exploring the Limits of Weakly Supervised Pretraining , 2018, ECCV.
[17] 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).
[18] Patrick Pérez,et al. Poisson image editing , 2003, ACM Trans. Graph..
[19] 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.
[20] Xiaoou Tang,et al. Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net , 2018, ECCV.
[21] Xiong Chen,et al. Learning Discriminative Features with Multiple Granularities for Person Re-Identification , 2018, ACM Multimedia.
[22] Jan Kautz,et al. Unsupervised Image-to-Image Translation Networks , 2017, NIPS.
[23] Kihyuk Sohn,et al. Improved Deep Metric Learning with Multi-class N-pair Loss Objective , 2016, NIPS.
[24] Jan Kautz,et al. Multimodal Unsupervised Image-to-Image Translation , 2018, ECCV.
[25] Thomas S. Huang,et al. Free-Form Image Inpainting With Gated Convolution , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[26] Zhuowen Tu,et al. Aggregated Residual Transformations for Deep Neural Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Yifan Sun,et al. SVDNet for Pedestrian Retrieval , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[28] Yi Yang,et al. Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[29] Stefanos Zafeiriou,et al. ArcFace: Additive Angular Margin Loss for Deep Face Recognition , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Yi Yang,et al. Pedestrian Alignment Network for Large-scale Person Re-Identification , 2017, IEEE Transactions on Circuits and Systems for Video Technology.
[31] Liang Zheng,et al. Re-ranking Person Re-identification with k-Reciprocal Encoding , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[32] Meng Yang,et al. Large-Margin Softmax Loss for Convolutional Neural Networks , 2016, ICML.
[33] 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).
[34] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[35] Liang Zheng,et al. Simulating Content Consistent Vehicle Datasets with Attribute Descent , 2019, ECCV.
[36] Yi Yang,et al. VehicleNet: Learning Robust Feature Representation for Vehicle Re-identification , 2019, CVPR Workshops.
[37] Wojciech Zaremba,et al. Domain randomization for transferring deep neural networks from simulation to the real world , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[38] Yu Qiao,et al. A Discriminative Feature Learning Approach for Deep Face Recognition , 2016, ECCV.
[39] Hanqing Lu,et al. Learning Coarse-to-Fine Structured Feature Embedding for Vehicle Re-Identification , 2018, AAAI.
[40] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Yi Yang,et al. A Discriminatively Learned CNN Embedding for Person Reidentification , 2016, ACM Trans. Multim. Comput. Commun. Appl..