Skip Connection Blocks

Non-Local Block

Introduced by Wang et al. in Non-local Neural Networks

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.

Source: Non-local Neural Networks

Papers

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