Abstract: The L2-normalization and feature pooling have a wide range of applications in image classification and have also achieved remarkable results. However, there is much room for the existing ...

Researchers are proposing a simple modification to standard ResNet architectures that substantially improves OoD performance on the DDU benchmark. Until recently, most research toward uncertainty ...

L2 normalization is typically applied to vision and text features before computing similarity scores, especially in retrieval-style tasks where cosine similarity is appropriate. However, in purely ...

Data Normalization & Standardization Project Introduction:- In this project, I worked on two important preprocessing tasks that are commonly used in Machine Learning: #Task A: Applying different ...