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Open-vocabulary multiple object tracking aims to generalize trackers to unseen categories during training, enabling their application across a variety of real-world scenarios.
Kullback-leibler divergence, 1951
Solomon Kullback · 1951
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Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Simple online and realtime tracking with a deep association metric
Nicolai Wojke, Alex Bewley, and Dietrich Paulus · 2017
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Character-level language modeling with deeper self-attention
Rami Al-Rfou, Dokook Choe, Noah Constant, Mandy Guo, and Llion Jones · 2019
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Tracking without bells and whistles
Philipp Bergmann, Tim Meinhardt, and Laura Leal-Taixe · 2019
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Lvis: A dataset for large vocabulary instance segmentation
Agrim Gupta, Piotr Dollar, and Ross Girshick · 2019
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Tao: A large-scale benchmark for tracking any object
Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, and Deva Ramanan · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Transtrack: Multiple object tracking with transformer
Peize Sun, Jinkun Cao, Yi Jiang, Rufeng Zhang, Enze Xie, Zehuan Yuan, Changhu Wang, and Ping Luo · 2020
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Tracking objects as points
Xingyi Zhou, Vladlen Koltun, and Philipp Krähenbühl · 2020
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Open-vocabulary object detection via vision and language knowledge distillation
Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo, and Yin Cui · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Multiple object tracking in recent times: a literature review
Mk Bashar, Samia Islam, Kashifa Kawaakib Hussain, Md Bakhtiar Hasan, ABM Rahman, and Md Hasanul Kabir · 2022
Motr: End-to-end multiple-object tracking with transformer
Fangao Zeng, Bin Dong, Yuang Zhang, Tiancai Wang, Xiangyu Zhang, and Yichen Wei · 2022
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Memotr: Long-term memory-augmented transformer for multi-object tracking
Ruopeng Gao and Limin Wang · 2023
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Segment anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
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Ovtrack: Open-vocabulary multiple object tracking
Siyuan Li, Tobias Fischer, Lei Ke, Henghui Ding, Martin Danelljan, and Fisher Yu · 2023
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Grounding dino: Marrying dino with grounded pre-training for open-set object detection
Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, et al · 2023
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Learning to prompt for open-vocabulary object detection with vision-language model
Yu Du, Fangyun Wei, Zihe Zhang, Miaojing Shi, Yue Gao, and Guoqi Li · 2022
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Learning object-language alignments for open-vocabulary object detection
Chuang Lin, Peize Sun, Yi Jiang, Ping Luo, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan, and Jianfei Cai · 2022
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Trackformer: Multi-object tracking with transformers
Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixe, and Christoph Feichtenhofer · 2022
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Towards discriminative representation: Multi-view trajectory contrastive learning for online multi-object tracking
En Yu, Zhuoling Li, and Shoudong Han · 2022
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Open-vocabulary detr with conditional matching
Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, and Chen Change Loy · 2022
Cited alongside, same era.
Delving into the trajectory long-tail distribution for muti-object tracking
Sijia Chen, En Yu, Jinyang Li, and Wenbing Tao
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Cross-view referring multi-object tracking
Sijia Chen, En Yu, and Wenbing Tao
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Motrv2: Bootstrapping end-to-end multi-object tracking by pretrained object detectors
Yuang Zhang, Tiancai Wang, and Xiangyu Zhang · 2023
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Joint visual grounding and tracking with natural language specification
Li Zhou, Zikun Zhou, Kaige Mao, and Zhenyu He · 2023
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Matching anything by segmenting anything
Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segu, Luc Van Gool, and Fisher Yu · 2024
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Type-to-track: Retrieve any object via prompt-based tracking
Pha Nguyen, Kha Gia Quach, Kris Kitani, and Khoa Luu · 2024
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Slack: Semantic, location, and appearance aware open-vocabulary tracking
Siyuan Li, Lei Ke, Yung-Hsu Yang, Luigi Piccinelli, Mattia Segù, Martin Danelljan, and Luc Van Gool · 2025
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