MobileViT is a vision transformer that is tuned to mobile phone

**CentripetalNet** is a keypoint-based detector which uses centripetal shift to pair corner keypoints from the same instance. CentripetalNet predicts the position and the centripetal shift of the corner points and matches corners whose shifted results are aligned.

CentripetalNet

CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection

MobileViT

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

A **(2+1)D Convolution** is a type of [convolution](https://paperswithcode.com/method/convolution) used for action recognition convolutional neural networks, with a spatiotemporal volume. As opposed to applying a [3D Convolution](https://paperswithcode.com/method/3d-convolution) over the entire volume, which can be computationally expensive and lead to overfitting, a (2+1)D convolution splits computation into two convolutions: a spatial 2D convolution followed by a temporal 1D convolution.

Source	MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
Year	2000
Data Source	CC BY-SA - https://paperswithcode.com