Large-scale Single Object Tracking (LaSOT) aims to provide a dedicated platform for training data-hungry deep trackers as well as assessing long-term tracking performance. LaSOT is featured in
Please consider citing the following papers if you use LaSOT for your research :)
LaSOT: A High-quality Large-scale Single Object Tracking Benchmark H. Fan*, H. Bai*, L. Lin, F. Yang, P. Chu, G. Deng, S. Yu, Harshit, M. Huang, J Liu, Y. Xu, C. Liao, L Yuan, and H. Ling International Journal of Computer Vision (IJCV), 2020. (accepted)
LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking H. Fan*, L. Lin*, F. Yang*, P. Chu*, G. Deng, S. Yu, H. Bai, Y. Xu, C. Liao, and H. Ling IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.