The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 27, 2020
Filed:
Dec. 22, 2019
Stradvision, Inc., Pohang-si, KR;
Kye-Hyeon Kim, Seoul, KR;
Yongjoong Kim, Pohang-si, KR;
Hak-Kyoung Kim, Pohang-si, KR;
Woonhyun Nam, Pohang-si, KR;
SukHoon Boo, Anyang-si, KR;
Myungchul Sung, Pohang-si, KR;
Dongsoo Shin, Suwon-si, KR;
Donghun Yeo, Pohang-si, KR;
Wooju Ryu, Pohang-si, KR;
Myeong-Chun Lee, Pohang-si, KR;
Hyungsoo Lee, Seoul, KR;
Taewoong Jang, Seoul, KR;
Kyungjoong Jeong, Pohang-si, KR;
Hongmo Je, Pohang-si, KR;
Hojin Cho, Pohang-si, KR;
STRADVISION, INC., Pohang-si, KR;
Abstract
A learning method for generating integrated object detection information by integrating first object detection information and second object detection information is provided. And the method includes steps of: (a) a learning device instructing a concatenating network to generate one or more pair feature vectors; (b) the learning device instructing a determining network to apply FC operations to the pair feature vectors, to thereby generate (i) determination vectors and (ii) box regression vectors; (c) the learning device instructing a loss unit to generate an integrated loss by referring to the determination vectors, the box regression vectors and their corresponding GTs, and performing backpropagation processes by using the integrated loss, to thereby learn at least part of parameters included in the DNN.