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Title:
METHOD AND ELECTRONIC DEVICE FOR DETERMINING OPTIMAL GLOBAL ATTENTION IN DEEP LEARNING MODEL
Document Type and Number:
WIPO Patent Application WO/2023/211248
Kind Code:
A1
Abstract:
An electronic device for determining global attention in a deep learning model is provided. The electronic device includes a hardware accelerator, a low-complex global attention generator, a parallel switch, and a series switch. The hardware accelerator is configured to process each tile of a full-frame image and the low complex global attention generator is configured to generate a channel attention map of the full-frame image. The parallel switch is configured to bypass a connection of the channel attention map with the hardware accelerator and a series switch, configured to gate the connection of the channel attention map with the hardware accelerator.

Inventors:
RAJ EEGA REVANTH (IN)
PENTAPATI SAI KARTHIKEY (IN)
GADDE RAJ NARAYANA (IN)
GUPTA ANUSHKA (IN)
KIM DONGKYU (KR)
CHOI KWANGPYO (KR)
Application Number:
PCT/KR2023/005875
Publication Date:
November 02, 2023
Filing Date:
April 28, 2023
Export Citation:
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Assignee:
SAMSUNG ELECTRONICS CO LTD (KR)
International Classes:
G06N3/063; G06F17/15; G06N3/0464; G06N3/08
Foreign References:
CN113298091A2021-08-24
CN112465790A2021-03-09
CN110717856A2020-01-21
Other References:
BASAK HRITAM, KUNDU ROHIT, AGARWAL ANISH, GIRI SHREYA: "Single Image Super-Resolution using Residual Channel Attention Network", 2020 IEEE 15TH INTERNATIONAL CONFERENCE ON INDUSTRIAL AND INFORMATION SYSTEMS (ICIIS), IEEE, 26 November 2020 (2020-11-26) - 28 November 2020 (2020-11-28), pages 219 - 224, XP093104782, ISBN: 978-1-7281-8524-8, DOI: 10.1109/ICIIS51140.2020.9342688
AN JUNKANG, JOE INWHEE: "Attention Map-Guided Visual Explanations for Deep Neural Networks", APPLIED SCIENCES, vol. 12, no. 8, pages 3846, XP093104780, DOI: 10.3390/app12083846
Attorney, Agent or Firm:
Y.P.LEE, MOCK & PARTNERS (KR)
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