Container: Context Aggregation Network

Understand

Convolutional neural networks (CNNs) are ubiquitous in computer vision, with a myriad of effective and efficient variations.

• Recently, Transformers -- originally introduced in natural language processing -- have been increasingly adopted in computer vision.
• While early adopters continue to employ CNN backbones, the latest networks are end-to-end CNN-free Transformer solutions.
• A recent surprising finding shows that a simple MLP based solution without any traditional convolutional or Transformer components can produce effective visual representations.