公开(公告)号：US20200175384A1

公开(公告)日：2020-06-04

申请号：US16255737

申请日：2019-01-23

Applicant: Samsung Electronics Co., Ltd.

Inventor： Junting Zhang ,  Jie Zhang ,  Shalini Ghosh ,  Dawei Li ,  Serafettin Tasci ,  Larry Heck

IPC: G06N5/02 ,  G06N20/00

Abstract: Methods, devices, and computer-readable media for incremental learning in image classification and/or object detection. A method for incremental learning includes identifying, for a model for object detection or classification, a first set of object classes the model is trained to detect or classify and adapting the model for use with a second set of object classes different from the first set of object classes to generate an adapted model. The method further includes retaining detection or classification performance on the first set of object classes in the adapted model by performing a knowledge distillation process for the model; and using the adapted model to detect or classify one or more objects from the first set of object classes and one or more objects from the second set of object classes.

公开(公告)号：US20220245424A1

公开(公告)日：2022-08-04

申请号：US17368683

申请日：2021-07-06

Applicant: Samsung Electronics Co., Ltd.

Inventor： Palash Goyal ,  Saurabh Sahu ,  Shalini Ghosh ,  Hyun Chul Lee

IPC: G06N3/04 ,  G06N3/08

Abstract: A method includes accessing video data that includes at least two different modalities. The method also includes using a convolutional neural network layer to incorporate temporal coherence into a machine learning model architecture configured to process the video data. The method further includes learning dependency among the at least two different modalities in an attention space of the machine learning model architecture. In addition, the method includes predicting one or more correlations among the at least two different modalities.

公开(公告)号：US11775812B2

公开(公告)日：2023-10-03

申请号：US16379704

申请日：2019-04-09

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jie Zhang ,  Junting Zhang ,  Shalini Ghosh ,  Dawei Li ,  Jingwen Zhu

IPC: G06N3/08 ,  G06N3/04

CPC classification number: G06N3/08 ,  G06N3/04

Abstract: Methods, devices, and computer-readable media for multi-task based lifelong learning. A method for lifelong learning includes identifying a new task for a machine learning model to perform. The machine learning model trained to perform an existing task. The method includes adaptively training a network architecture of the machine learning model to generate an adapted machine learning model based on incorporating inherent correlations between the new task and the existing task. The method further includes using the adapted machine learning model to perform both the existing task and the new task.

公开(公告)号：US20200175362A1

公开(公告)日：2020-06-04

申请号：US16379704

申请日：2019-04-09

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jie Zhang ,  Junting Zhang ,  Shalini Ghosh ,  Dawei Li ,  Jingwen Zhu

IPC: G06N3/08 ,  G06N3/04

Abstract: Methods, devices, and computer-readable media for multi-task based lifelong learning. A method for lifelong learning includes identifying a new task for a machine learning model to perform. The machine learning model trained to perform an existing task. The method includes adaptively training a network architecture of the machine learning model to generate an adapted machine learning model based on incorporating inherent correlations between the new task and the existing task. The method further includes using the adapted machine learning model to perform both the existing task and the new task.