An **Elastic ResNeXt Block** is a modification of the [ResNeXt Block](https://paperswithcode.com/method/resnext-block) that adds downsamplings and upsamplings in parallel branches at each layer. It is called "elastic" because each layer in the network is flexible in terms of choosing the best scale by a soft policy.

**Inception-v4** is a convolutional neural network architecture that builds on previous iterations of the Inception family by simplifying the architecture and using more inception modules than [Inception-v3](https://paperswithcode.com/method/inception-v3).

Inception-v4

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Elastic ResNeXt Block

ELASTIC: Improving CNNs with Dynamic Scaling Policies

**DALL·E 2** is a generative text-to-image model made up of two main components: a prior that generates a CLIP image embedding given a text caption, and a decoder that generates an image conditioned on the image embedding.

Source	ELASTIC: Improving CNNs with Dynamic Scaling Policies
Year	2000
Data Source	CC BY-SA - https://paperswithcode.com