Shape Adaptor
Shape Adaptor
**Shape Adaptor** is a novel resizing module for neural networks. It is a drop-in enhancement built on top of traditional resizing layers, such as pooling, bilinear sampling, and strided [convolution](https://paperswithcode.com/method/convolution). This module allows for a learnable shaping factor which differs from the traditional resizing layers that are fixed and deterministic.

Image Source: [Liu et al.](https://arxiv.org/pdf/2008.00892v2.pdf)
Shape Adaptor: A Learnable Resizing Module
https://paperswithcode.com/paper/shape-adaptor-a-learnable-resizing-module
Shape Adaptor: A Learnable Resizing Module