Track, Check, Repeat: An EM Approach to Unsupervised Tracking
This is the official code release for our CVPR21 paper on unsupervised detection and tracking. It produces results slightly better than reported in the paper. [Paper] [Project Page] We use ensemble agreement between 2d and 3d models, as well as motion cues, to unsupervisedly learn object detectors from scratch. Top: 3d detections. Middle: 2d segmentation. Bottom-left: unprojected 2d segmentation, in a bird’s eye view. Bottom-right: 3d detections, in a bird’s eye view. Overview An EM approach to unsupervised tracking. We […]
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