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Academic papers
PolyLoss : A new framework for loss functions
papers

PolyLoss : A new framework for loss functions

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
May 18, 2022 — 1 min read
EfficientNet (V1 & V2) - A smart heuristic
papers

EfficientNet (V1 & V2) - A smart heuristic

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
May 9, 2021 — 2 min read
Semantic Segmentation - DeepLab V3+
papers

Semantic Segmentation - DeepLab V3+

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
Jan 27, 2021 — 2 min read
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