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The new trend in multi-object tracking task is to track objects of interest using natural language.
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Li, Z., Tao, R., Gavves, E., Snoek, C.G.M., Smeulders, A.W.M.: Tracking by natural language specification. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Jul 2017)
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Wojke, N., Bewley, A., Paulus, D.: Simple online and realtime tracking with a deep association metric. In: 2017 IEEE international conference on image processing (ICIP). pp. 3645–3649. IEEE (2017)
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Gu, C., Sun, C., Ross, D.A., Vondrick, C., Pantofaru, C., Li, Y., Vijayanarasimhan, S., Toderici, G., Ricco, S., Sukthankar, R., Schmid, C., Malik, J.: Ava: A video dataset of spatio-temporally localized atomic visual actions (Jun 2018)
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Fan, H., Lin, L., Yang, F., Chu, P., Deng, G., Yu, S., Bai, H., Xu, Y., Liao, C., Ling, H.: Lasot: A high-quality benchmark for large-scale single object tracking. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 5374–5383 (2019)
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Khoreva, A., Rohrbach, A., Schiele, B.: Video Object Segmentation with Language Referring Expressions, p. 123–141 (Jan 2019)
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Radford, A., Kim, J.W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.: Learning transferable visual models from natural language supervision. In: International conference on machine learning. pp. 8748–8763. PMLR (2021)
2021
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Wang, X., Shu, X., Zhang, Z., Jiang, B., Wang, Y., Tian, Y., Wu, F.: Towards more flexible and accurate object tracking with natural language: Algorithms and benchmark. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 13763–13773 (2021)
2021
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Zhang, Y., Wang, C., Wang, X., Zeng, W., Liu, W.: Fairmot: On the fairness of detection and re-identification in multiple object tracking. International Journal of Computer Vision 129
2021
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Liang, C., Zhang, Z., Zhou, X., Li, B., Zhu, S., Hu, W.: Rethinking the competition between detection and reid in multiobject tracking. IEEE Transactions on Image Processing 31
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2019
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Ye, L., Rochan, M., Liu, Z., Wang, Y.: Cross-modal self-attention network for referring image segmentation. In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Jun 2019)
2019
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Dave, A., Khurana, T., Tokmakov, P., Schmid, C., Ramanan, D.: Tao: A large-scale benchmark for tracking any object. Cornell University - arXiv,Cornell University - arXiv (May 2020)
2020
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Dendorfer, P., Rezatofighi, H., Milan, A., Shi, J., Cremers, D., Reid, I., Roth, S., Schindler, K., Leal-Taixé, L.: Mot20: A benchmark for multi object tracking in crowded scenes. Cornell University - arXiv,Cornell University - arXiv (Mar 2020)
2020
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Seo, S., Lee, J.Y., Han, B.: URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark, p. 208–223 (Jan 2020)
2020
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2020
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Yu, F., Chen, H., Wang, X., Xian, W., Chen, Y., Liu, F., Madhavan, V., Darrell, T.: Bdd100k: A diverse driving dataset for heterogeneous multitask learning. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Jun 2020)
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Zhou, X., Koltun, V., Krähenbühl, P.: Tracking Objects as Points, p. 474–490 (Jan 2020)
2020
Cited alongside, same era.
2020
Cited alongside, same era.
2022
Later among the works it cites.
Meinhardt, T., Kirillov, A., Leal-Taixe, L., Feichtenhofer, C.: Trackformer: Multi-object tracking with transformers. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 8844–8854 (2022)
2022
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Yang, L., Xu, Y., Yuan, C., Liu, W., Li, B., Hu, W.: Improving visual grounding with visual-linguistic verification and iterative reasoning. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 9499–9508 (2022)
2022
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Zhang, Y., Sun, P., Jiang, Y., Yu, D., Weng, F., Yuan, Z., Luo, P., Liu, W., Wang, X.: Bytetrack: Multi-object tracking by associating every detection box. In: European Conference on Computer Vision. pp. 1–21. Springer (2022)
2022
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2023
Later among the works it cites.
Du, Y., Zhao, Z., Song, Y., Zhao, Y., Su, F., Gong, T., Meng, H.: Strongsort: Make deepsort great again. IEEE Transactions on Multimedia (2023)
2023
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Wu, D., Han, W., Wang, T., Dong, X., Zhang, X., Shen, J.: Referring multi-object tracking. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 14633–14642 (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
Zhou, L., Zhou, Z., Mao, K., He, Z.: Joint visual grounding and tracking with natural language specification. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 23151–23160 (2023)
2023
Later among the works it cites.
Nguyen, P., Quach, K.G., Kitani, K., Luu, K.: Type-to-track: Retrieve any object via prompt-based tracking. Advances in Neural Information Processing Systems 36
2024
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