Compact and discriminative multi-object tracking with siamese CNNs
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Frédéric Lerasle | Claire Labit-Bonis | Jérôme Thomas | F. Lerasle | Claire Labit-Bonis | Jérôme Thomas
[1] J. Munkres. ALGORITHMS FOR THE ASSIGNMENT AND TRANSIORTATION tROBLEMS* , 1957 .
[2] Rainer Stiefelhagen,et al. Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics , 2008, EURASIP J. Image Video Process..
[3] Wei Wu,et al. Multi-Object Tracking with Multiple Cues and Switcher-Aware Classification , 2019, ArXiv.
[4] Dietrich Paulus,et al. Simple online and realtime tracking with a deep association metric , 2017, 2017 IEEE International Conference on Image Processing (ICIP).
[5] Hua Yang,et al. Online Multi-Object Tracking with Dual Matching Attention Networks , 2018, ECCV.
[6] Silvio Savarese,et al. Learning to Track at 100 FPS with Deep Regression Networks , 2016, ECCV.
[7] Ming Yang,et al. DeepFace: Closing the Gap to Human-Level Performance in Face Verification , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[8] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Kevin Leyton-Brown,et al. Sequential Model-Based Optimization for General Algorithm Configuration , 2011, LION.
[10] Bin Liu,et al. DASOT: A Unified Framework Integrating Data Association and Single Object Tracking for Online Multi-Object Tracking , 2020, AAAI.
[11] Wei Wu,et al. Distractor-aware Siamese Networks for Visual Object Tracking , 2018, ECCV.
[12] Wei Wu,et al. High Performance Visual Tracking with Siamese Region Proposal Network , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[13] Laura Leal-Taixé,et al. Tracking Without Bells and Whistles , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[14] Wei Wu,et al. SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Zuoxin Li,et al. SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines , 2020, AAAI.
[16] Ameya Prabhu,et al. Simple Unsupervised Multi-Object Tracking , 2020, ArXiv.
[17] Long Chen,et al. Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification , 2018, 2018 IEEE International Conference on Multimedia and Expo (ICME).
[18] Fabio Tozeto Ramos,et al. Simple online and realtime tracking , 2016, 2016 IEEE International Conference on Image Processing (ICIP).
[19] Stefan Roth,et al. MOT16: A Benchmark for Multi-Object Tracking , 2016, ArXiv.
[20] Nenghai Yu,et al. Real-Time Online Multi-Object Tracking in Compressed Domain , 2022, IEEE Access.
[21] Seung-Hwan Bae,et al. Learning Discriminative Appearance Models for Online Multi-Object Tracking With Appearance Discriminability Measures , 2018, IEEE Access.
[22] Fabio Poiesi,et al. Online Multi-target Tracking with Strong and Weak Detections , 2016, ECCV Workshops.
[23] Quoc V. Le,et al. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks , 2019, ICML.
[24] Haibin Ling,et al. FAMNet: Joint Learning of Feature, Affinity and Multi-Dimensional Assignment for Online Multiple Object Tracking , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[25] Jiri Matas,et al. A Novel Performance Evaluation Methodology for Single-Target Trackers , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.