feature-wisetransformations

由 Z Li 著作 · 2021 · 被引用 14 次 — We propose a Semantic Feature-wise transformation Relation Network (SFRN) that exploits the multiple components of ASAG datasets more effectively. SFRN captures ...

由 HY Tseng 著作 · 2020 · 被引用 376 次 — Our core idea is to use feature-wise transformation layers for augmenting the image features using affine transforms to simulate various feature ...

由 E Perez 著作 · 2017 · 被引用 1464 次 — FiLM layers influence neural network computation via a simple, feature-wise affine transformation based on conditioning information. We show ...

由 V Dumoulin 著作 · 2018 · 被引用 89 次 — The model's linguistic pipeline is a FiLM generator which extracts a question representation that is linearly mapped to FiLM parameter values.

Distill submission repository. Submission document. The submission document is located at src/index.ejs . Developing. npm install to install dependencies.

2020年3月15日 — #【深度学习】Feature-wise transformations. @(2019-2020年度论文阅读)[超分辨率]. A simple and surprisingly effective family of conditioning ...

由 V Dumoulin 著作 · 被引用 89 次 — We discuss feature-wise transformations as a family of related approaches and show how they can be conceptualized using the Feature-wise Linear Modulation (FiLM) ...

2023年7月27日 — Guide models with FiLM layers via a simple linear transformation conditioning.

Dynamically changing the weights of network operations can be regarded as a special case of feature-wise transformation [37] . The most common form is channel- ...