Non-Local Block
2000년 도입 · 논문 168편에서 사용
A Non-Local Block is an image block module used in neural networks that wraps a non-local operation. We can define a non-local block as: $$ \mathbb{z}\_{i} = W\_{z}\mathbb{y\_{i}} + \mathbb{x}\_{i} $$ where $y\_{i}$ is the output from the non-local operation and $+ \mathbb{x}\_{i}$ is a residual connection.
소개 논문: Non-local Neural Networks
Skip Connection Blocks · GeneralImage Model Blocks · Computer Vision