Transcription of Objects as Points
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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.
This eliminates the need for multiple anchors [47]. Object detection by keypoint estimation. We are not the first to use keypoint estimation for object detection. Cor-nerNet [30] detects two bounding box corners as keypoints, while ExtremeNet [61] detects the top-, left-, bottom-, right-most, and center points of all objects. Both these methods
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