Class activation guide is a module which uses weak localization information from the instrument activation maps to guide the verb and target recognition. 

Image source: [Nwoye et al.](https://arxiv.org/pdf/2007.05405v1.pdf)

A **Sandwich Transformer** is a variant of a [Transformer](https://paperswithcode.com/method/transformer) that reorders sublayers in the architecture to achieve better performance. The reordering is based on the authors' analysis that models with more self-attention toward the bottom and more
feedforward sublayers toward the top tend to perform better in general.

Sandwich Transformer

Improving Transformer Models by Reordering their Sublayers

Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets

Automated graph learning is a method that aims at discovering the best hyper-parameter and neural architecture configuration for different graph tasks/data without manual design.

Source	Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
Year	2000
Data Source	CC BY-SA - https://paperswithcode.com