The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
The Eighth Visual Object Tracking VOT2020 Challenge Results
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Citations
Cites
U-Net: Convolutional Networks for Biomedical Image Segmentation
Ronneberger, O., Fischer, P., & Brox, T. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-24574-4_28 · Cited by 99,404
Microsoft COCO: Common Objects in Context
Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., & Zitnick, C. L. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-10602-1_48 · Cited by 45,460
ImageNet Large Scale Visual Recognition Challenge
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al. (2015) · International Journal of Computer Vision · doi:10.1007/s11263-015-0816-y · Cited by 39,380
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Chen, L.-C., Zhu, Y., Papandreou, G., Schroff, F., & Adam, H. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-01234-2_49 · Cited by 20,054
Cascade R-CNN: Delving Into High Quality Object Detection
Cai, Z., & Vasconcelos, N. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00644 · Cited by 7,370
FCOS: Fully Convolutional One-Stage Object Detection
Tian, Z., Shen, C., Chen, H., & He, T. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00972 · Cited by 7,013
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
Iandola, F. N., Han, S., Moskewicz, M. W., Ashraf, K., Dally, W. J., & Keutzer, K. (2016) · arXiv · doi:10.48550/arxiv.1602.07360 · Cited by 6,201
High-Speed Tracking with Kernelized Correlation Filters
Henriques, J. F., Caseiro, R., Martins, P., & Batista, J. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2345390 · Cited by 5,753
Fully-Convolutional Siamese Networks for Object Tracking
Bertinetto, L., Valmadre, J., Henriques, J. F., Vedaldi, A., & Torr, P. H. S. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-48881-3_56 · Cited by 4,546
Self-citationOnline Object Tracking: A Benchmark
Wu, Y., Lim, J., & Yang, M.-H. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2013.312 · Cited by 4,138
Cited by
Learning Spatio-Temporal Transformer for Visual Tracking
Yan, B., Peng, H., Fu, J., Wang, D., & Lu, H. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.01028 · Cited by 1,280
“Different from previous reset-based evaluations [23], VOT2020 [22] proposes a new anchor-based evaluation protocol and uses binary segmentation masks as the groundtruth.”
MethodSelf-citationEgo4D: Around the World in 3,000 Hours of Egocentric Video
Grauman, K., Westbury, A., Byrne, E., Chavis, Z., Furnari, A., Girdhar, R., Hamburger, J., Jiang, H., Liu, M., Liu, X., et al. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52688.2022.01842 · Cited by 630
Self-citationAlpha-refine: Boosting tracking performance by precise bounding box estimation
Yan, B., Zhang, X., Wang, D., Lu, H., & Yang, X. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr46437.2021.00525 · Cited by 246
Self-citation
Metadata
- Authors
- Kristan, M., Leonardis, A., Matas, J., Felsberg, M., Pflugfelder, R., Kämäräinen, J.-K., Danelljan, M., Zajc, L. Č., Lukežič, A., Drbohlav, O., He, L., Zhang, Y., Yan, S., Yang, J., Fernández, G., Hauptmann, A., Memarmoghadam, A., García-Martín, Á., Robinson, A., Varfolomieiev, A., Gebrehiwot, A. H., Uzun, B., Yan, B., Li, B., Qian, C., Tsai, C.-Y., Micheloni, C., Wang, D., Wang, F., Xie, F., Lawin, F. J., Gustafsson, F., Foresti, G. L., Bhat, G., Chen, G., Ling, H., Zhang, H., Cevikalp, H., Zhao, H., Bai, H., Kuchibhotla, H. C., Saribas, H., Fan, H., Ghanei-Yakhdan, H., Li, H., Peng, H., Lu, H., Li, H., Khaghani, J., Bescos, J., Li, J., Fu, J., Yu, J., Xu, J., Kittler, J., Yin, J., Lee, J., Yu, K., Liu, K., Yang, K., Dai, K., Cheng, L., Zhang, L., Wang, L., Wang, L., Van Gool, L., Bertinetto, L., Dunnhofer, M., Cheng, M., Dasari, M. M., Wang, N., Wang, N., Zhang, P., Torr, P. H. S., Wang, Q., Timofte, R., Gorthi, R. K. S., Choi, S., Marvasti-Zadeh, S. M., Zhao, S., Kasaei, S., Qiu, S., Chen, S., Schön, T. B., Xu, T., Lu, W., Hu, W., Zhou, W., Qiu, X., Ke, X., Wu, X.-J., Zhang, X., Yang, X., Zhu, X., Jiang, Y., Wang, Y., Chen, Y., Ye, Y., Li, Y., Yao, Y., Lee, Y., Gu, Y., Wang, Z., Tang, Z., Feng, Z.-H., Mai, Z., Zhang, Z., Wu, Z., & Ma, Z.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 547-601
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W3127756064
- Cited by
- 259
- References
- 88
- FWCI
- 11.52
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The Eighth Visual Object Tracking VOT2020 Challenge Results. https://app.cochat.ai/papers/10.1007/978-3-030-68238-5_39
- The paper
- Kristan, M., Leonardis, A., Matas, J., Felsberg, M., Pflugfelder, R., Kämäräinen, J.-K., Danelljan, M., Zajc, L. Č., Lukežič, A., Drbohlav, O., He, L., Zhang, Y., Yan, S., Yang, J., Fernández, G., Hauptmann, A., Memarmoghadam, A., García-Martín, Á., Robinson, A., . . . Ma, Z. (2020). The Eighth Visual Object Tracking VOT2020 Challenge Results. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-68238-5_39
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