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- LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking . . .
In this paper, we present LaSOT, a high-quality benchmark for Large-scale Single Object Tracking LaSOT consists of 1,400 sequences with more than 3 5M frames i
- CVPR 2019 | 亮风台推出全球最大单目标跟踪数据集 LaSOT
论文《LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking》详细阐述了 LaSOT 数据集的构造原理和评估方法，由亮风台、华南理工大学、美图-亮风台联合实验室等单位共同完成，收录于 CVPR 2019。
- LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking
By re-leasing LaSOT, we expect to provide the community with a large-scale dedicated benchmark with high quality for both the training of deep trackers and the veritable evaluation of tracking algorithms
- LaSOT - Large-scale Single Object Tracking - Stony Brook University
La rge-scale S ingle O bject T racking (LaSOT) aims to provide a dedicated platform for training data-hungry deep trackers as well as assessing long-term tracking performance
- LaSOT: A High-Quality Benchmark for Large-Scale Single . . .
A thorough experimental evaluation of 35 tracking algorithms on LaSOT is presented with detailed analysis, and the results demonstrate that there is still a big room for improvements
- LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
To address this problem, we present LaSOT, a high-quality Large-scale Single Object Tracking benchmark LaSOT contains a diverse selection of 85 object classes, and offers 1,550 totaling more than 3 87 million frames Each video frame is carefully and manually annotated with a bounding box
- LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
In this paper, we introduced LaSOT, a high-quality large-scale single-object tracking benchmark containing 1550 videos with more than 3 87 million frames To our knowledge, LaSOT is by far the largest tracking benchmark, in terms of precisely annotated frames
- LaSOT - GitHub Pages
Protocol I (no constraint): All 1,400 sequences in LaSOT (note: conference version) are employed for evaluation Protocol II (full-overlap): Only 280 sequences in the testing subset (note: conference version) of LaSOT are utilized for evaluation
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