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What is: CornerNet?

SourceCornerNet: Detecting Objects as Paired Keypoints
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

CornerNet is an object detection model that detects an object bounding box as a pair of keypoints, the top-left corner and the bottom-right corner, using a single convolution neural network. By detecting objects as paired keypoints, we eliminate the need for designing a set of anchor boxes commonly used in prior single-stage detectors. It also utilises corner pooling, a new type of pooling layer than helps the network better localize corners.