ENet Initial Block

2000년 도입 · 논문 24편에서 사용

The ENet Initial Block is an image model block used in the ENet semantic segmentation architecture. Max Pooling is performed with non-overlapping 2 × 2 windows, and the convolution has 13 filters, which sums up to 16 feature maps after concatenation. This is heavily inspired by Inception Modules.

출처: ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

소개 논문: ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation