Dynamic Keypoint Head
Dynamic Keypoint Head
**Dynamic Keypoint Head** is an output head for pose estimation that are conditioned on each instance (person), and can encode the instance concept in the dynamically-generated weights of their filters. They are used in the [FCPose](https://paperswithcode.com/method/fcpose) architecture.

The Figure shows the core idea. $F$ denotes a level of feature maps. "Rel. Coord." means the relative coordinates, denoting the relative offsets from the locations of $F$ to the location where the filters are generated. Refer to the text for details. $f\_{\theta\_{i}}$ is the dynamically-generated keypoint head for the $i$-th person instance. Note that each person instance has its own keypoint head.
FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions
https://paperswithcode.com/paper/fcpose-fully-convolutional-multi-person-pose
FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions