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Keyword: group normalization ×Clear all

2 claims from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Group Normalization

   Wu and He · Lecture notes in computer science · 2018

   The paper presents Group Normalization, an alternative to Batch Normalization that works well with small batches, and reports it matching or beating BN across image, detection, segmentation and video tasks.

   Unchecked2 claims
   Show 2 claims

   1. UncheckedGroup Normalization's calculation does not depend on batch size, and the paper says its accuracy holds steady across a wide range of batch sizes.“GN's computation is independent of batch sizes, and its accuracy is stable in a wide range of batch sizes.”
   2. UncheckedGroup Normalization can beat Batch Normalization-based versions on COCO detection and segmentation and on Kinetics video classification.“GN can outperform its BN-based counterparts for object detection and segmentation in COCO, and for video classification in Kinetics, showing that GN can effectively replace the powerful BN in a variety of tasks.”