0. Reference
https://arxiv.org/abs/1611.05431
Aggregated Residual Transformations for Deep Neural Networks
We present a simple, highly modularized network architecture for image classification. Our network is constructed by repeating a building block that aggregates a set of transformations with the same topology. Our simple design results in a homogeneous, mul
arxiv.org
1. WRN
- 해당 논문은, Wild Residual Network와 거의 유사하다고 판단되서, 생략하고자 한다.
- 사실 method나 철학이 그냥 똑같다고 봐도 무관하다고 느껴진다.
