Res2Net

2000년 도입 · 논문 25편에서 사용

Res2Net is an image model that employs a variation on bottleneck residual blocks. The motivation is to be able to represent features at multiple scales. This is achieved through a novel building block for CNNs that constructs hierarchical residual-like connections within one single residual block. This represents multi-scale features at a granular level and increases the range of receptive fields for each network layer.

출처: Res2Net: A New Multi-scale Backbone Architecture

소개 논문: Res2Net: A New Multi-scale Backbone Architecture