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Objects as Points

Objects as PointsXingyi ZhouUT WangUC Kr ahenb uhlUT identifies Objects as axis-aligned boxes in animage. Most successful object detectors enumerate a nearlyexhaustive list of potential object locations and classifyeach. This is wasteful, inefficient, and requires additionalpost-processing. In this paper, we take a different model an object as a single point the center pointof its bounding box. Our detector uses keypoint estima-tion to find center Points and regresses to all other ob-ject properties, such as size, 3D location, orientation, andeven pose.

Object detection powers many vision tasks like instance segmentation [7,21,32], pose estimation [3,15,39], track- ... dense supervised learning [39,60]. Inference is a single net- ... where and are hyper-parameters of the focal loss [33], and N is the number of keypoints in image I. The nor-

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  Loss, Object, Detection, Falco, Dense, Object detection, Focal loss

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