CornerNet
CornerNet
**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](https://paperswithcode.com/method/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](https://paperswithcode.com/method/corner-pooling), a new type of pooling layer than helps the network better localize corners.
CornerNet: Detecting Objects as Paired Keypoints
https://paperswithcode.com/paper/cornernet-detecting-objects-as-paired
CornerNet: Detecting Objects as Paired Keypoints