Invention Grant
- Patent Title: Transfer learning between different computer vision tasks
-
Application No.: US17551050Application Date: 2021-12-14
-
Publication No.: US12272442B2Publication Date: 2025-04-08
- Inventor: Xiaohua Zhai , Sylvain Gelly , Alexander Kolesnikov , Yin Ching Jessica Yung , Joan Puigcerver i Perez , Lucas Klaus Beyer , Neil Matthew Tinmouth Houlsby , Wen Yau Aaron Loh , Alan Prasana Karthikesalingam , Basil Mustafa , Jan Freyberg , Patricia Leigh MacWilliams , Vivek Natarajan
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G16H30/40
- IPC: G16H30/40 ; G06N3/02 ; G06N3/096 ; G06T3/4053 ; G06T7/00 ; G06V10/82 ; G16H50/20

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network to perform a downstream computer vision task. One of the methods includes pre-training an initial neural network that shares layers with the neural network to perform an initial computer vision task and then training the neural network on the downstream computer vision task.
Public/Granted literature
- US20220189612A1 TRANSFER LEARNING BETWEEN DIFFERENT COMPUTER VISION TASKS Public/Granted day:2022-06-16
Information query