VirtualWorlds as Proxy for Multi-object Tracking Analysis

Gaidon, Adrien, Wang, Qiao, Cabon, Yohann, Vig, Eleonora·2016·2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
DOI 10.1109/cvpr.2016.470

Cited by (1,000)

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  84. Patch Trajectories for Visual Odometry in Dynamic scenes
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  88. Evaluation of unsupervised optical flow methods for deep learning in real world datasets
    Diego Marez, Josh D. Harguess · 2019
  89. A Tool for Building Multi-purpose and Multi-pose Synthetic Data Sets
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  90. Sensors in Agriculture
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  91. Domain Generalization via Optical Flow: Training a CNN in a Low-Quality Simulation to Detect Obstacles in the Real World
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  92. SRC3: A Video Dataset for Evaluating Domain Mismatch
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