Keypoint detection pytorch

1. What is keypoint detection?
2. What is facial Keypoint detection?
3. What is Keypoint RCNN?
4. What is Keypoint regression?

What is keypoint detection?

Keypoint detection involves simultaneously detecting people and localizing their keypoints. Keypoints are the same thing as interest points. They are spatial locations, or points in the image that define what is interesting or what stand out in the image.

What is facial Keypoint detection?

The objective of facial keypoints detection is to find the facial keypoints in a given face, which is very challenging due to very different facial features from person to person. The idea of deep learning has been applied to this problem, such as neural network and cascaded neural network.

What is Keypoint RCNN?

The Keypoint RCNN is trained on the MS-COCO (Common Objects in Context) dataset, which offers different annotation types for Object Detection, Segmentation and Image Captioning. Keypoint Detection falls in the same list.

What is Keypoint regression?

2.1 Keypoint Regression

The semantic keypoints detection aims to find the numerical coordinates of a set of pre-defined facial landmarks (e.g., left eye, right eye, nose, left mouth corner, right mouth corner, etc.).