公开(公告)号：US20240320493A1

公开(公告)日：2024-09-26

申请号：US18254634

申请日：2021-02-22

Applicant: Ahmet ISCEN ,  Andre Filgueiras de Araujo ,  Boqing Gong ,  Cordelia Luise SCHMID ,  Google LLC

Inventor： Ahmet Iscen ,  Andre Filgueiras de Araujo ,  Boqing Gong ,  Cordelia Luise Schmid

IPC: G06N3/084

CPC classification number: G06N3/084

Abstract: Class-balanced distillation can train recognition models with little to no bias even if the training dataset has a class imbalance. A two stage training process with instance sampling and class-balanced sampling can train the recognition model to recognize both head classes and tail classes. Moreover, one or more teacher classification models can be trained, and the knowledge can be distilled to a student classification model.