Bottleneck Transformer Block
2000년 도입 · 논문 10편에서 사용
A Bottleneck Transformer Block is a block used in Bottleneck Transformers that replaces the spatial 3 × 3 convolution layer in a Residual Block with Multi-Head Self-Attention (MHSA).
출처: Bottleneck Transformers for Visual Recognition
소개 논문: Bottleneck Transformers for Visual Recognition
Attention Modules · GeneralImage Model Blocks · Computer Vision