Original Paper: [https://arxiv.org/pdf/2204.12511.pdf] Authors: Zhaoqi Leng, Mingxing Tan , Chenxi Liu , Ekin Dogus Cubuk , Xiaojie Shi, Shuyang Cheng ,Dragomir Anguelov  [Waymo And Google] Summary Authors propose a new framework of loss functions, motivated by the Taylor series expansion of commonly used functions like cross entropy

Intuition EfficientNet tries to come up with a smart heuristic to scale a CNN, relating resolution, width, and depth of a CNN. In particular, it tries to answer two key questions: * What should be the best base network * How to scale the base network(a) in an efficient manner EfficientNet

Semantic Segmentation Semantic segmentation involves partitioning/marking regions in the image belonging to different objects/classes. Deep learning methods have made a remarkable improvement in this field within the past few years. This short article summarises DeepLab V3+, an elegant extension of DeepLab v3 proposed by the same authors (Chen