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MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking.

P. Dendorfer, A. Osep, A. Milan, K. Schindler, D. Cremers, I. Reid, S. Roth, and L. Leal-Taixé. Int. J. Comput. Vis., 129 (4): 845-881 (2021)

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MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?M. Fabbri, G. Brasó, G. Maugeri, O. Cetintas, R. Gasparini, A. Osep, S. Calderara, L. Leal-Taixé, and R. Cucchiara. ICCV, page 10829-10839. IEEE, (2021)How to Train Your Deep Multi-Object Tracker.Y. Xu, A. Osep, Y. Ban, R. Horaud, L. Leal-Taixé, and X. Alameda-Pineda. CVPR, page 6786-6795. Computer Vision Foundation / IEEE, (2020)STEP: Segmenting and Tracking Every Pixel.M. Weber, J. Xie, M. Collins, Y. Zhu, P. Voigtlaender, H. Adam, B. Green, A. Geiger, B. Leibe, D. Cremers and 3 other author(s). NeurIPS Datasets and Benchmarks, (2021)4D Generic Video Object Proposals.A. Osep, P. Voigtlaender, M. Weber, J. Luiten, and B. Leibe. ICRA, page 10031-10037. IEEE, (2020)Pix2Map: Cross-Modal Retrieval for Inferring Street Maps from Images.X. Wu, K. Lau, F. Ferroni, A. Osep, and D. Ramanan. CVPR, page 17514-17523. IEEE, (2023)Opening up Open-World Tracking.Y. Liu, I. Zulfikar, J. Luiten, A. Dave, A. Osep, D. Ramanan, B. Leibe, and L. Leal-Taixé. CoRR, (2021)MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking.P. Dendorfer, A. Osep, A. Milan, K. Schindler, D. Cremers, I. Reid, S. Roth, and L. Leal-Taixé. Int. J. Comput. Vis., 129 (4): 845-881 (2021)HOTA: A Higher Order Metric for Evaluating Multi-object Tracking.J. Luiten, A. Osep, P. Dendorfer, P. Torr, A. Geiger, L. Leal-Taixé, and B. Leibe. Int. J. Comput. Vis., 129 (2): 548-578 (2021)Vision-based category agnostic object tracking for mobile robots and intelligent vehicles / Aljose Osep ; Bastian Leibe, David Held.A. Osep. RWTH Aachen University, Germany, (2019)Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation.P. Dendorfer, A. Osep, and L. Leal-Taixé. ACCV (2), volume 12623 of Lecture Notes in Computer Science, page 405-420. Springer, (2020)

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MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking.

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MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking.