[论文翻译]ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking (CVPR2020)
ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking (CVPR2020) ARTIST：自动回归轨迹绘制与跟踪评分 摘要： 在线多目标跟踪(MOT)框架的核心组件之一是将新的检测与现有的tracklets关联起来，通常通过一个评分函数来实现。尽管MOT取得了很大的进步，但是设计一个可靠的评分函数仍然是一个挑战。
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相关文章
- 1. 【论文分享cvpr2020】ARTIST：自动回归轨迹绘制与跟踪评分Autoregressive Trajectory Inpainting and Scoring for Tracking
- 2. 【论文翻译】Multiple Object Tracking by Flowing and Fusing（CVPR2020）
- 3. ECO论文翻译：Efficient Convolution Operators for Tracking论文翻译
- 4. Learning Discriminative Model Prediction for Tracking --- 论文翻译
- 5. 论文翻译：Multi-view People Tracking via Hierarchical Trajectory Composition
- 6. MOT paper translation (MOT论文的译文或学习笔记，持续更新...)
- 7. Multihypothesis Trajectory Analysis for Robust Visual Tracking
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- 9. 论文《DynaSLAM: Tracking, Mapping and Inpainting in Dynamic Scenes》阅读记录
- 10. Video Synopsis for IR Imagery论文翻译