In this paper, we propose a novel loss function called MEDO (minimizing effective distortions only) based on our hypothesis that distortions below some ...
Feature compression has several advantages over its image counterpart; first, it is free of privacy concerns as feature maps are not easily perceivable to ...
MEDO: Minimizing Effective Distortions Only for Machine-Oriented Visual Feature Compression. C Yoon, D Lim, Y Kim, H Jeong, HY Kim, J Lee, Y Kim, SY Jeong.
Oct 7, 2024 · MEDO: Minimizing Effective Distortions Only for Machine-Oriented Visual Feature Compression. VCIP 2023: 1-5. [i2]. view. electronic edition via ...
MEDO: Minimizing Effective Distortions Only for Machine-Oriented Visual Feature Compression ... Feature Map Compression for Machine-Oriented Video Coding.
MEDO: Minimizing Effective Distortions Only for Machine-Oriented Visual Feature Compression C Yoon, D Lim, Y Kim, H Jeong, HY Kim, J Lee, Y Kim, SY Jeong
MEDO: Minimizing Effective Distortions Only for Machine-Oriented Visual Feature Compression. VCIP 2023: 1-5. [i4]. view. electronic edition via DOI (open ...
MEDO: Minimizing Effective Distortions Only for Machine-Oriented Visual Feature Compression. Conference Paper. Dec 2023. Curie Yoon ...
MEDO: Minimizing Effective Distortions Only for Machine-Oriented Visual Feature Compression ............. 703. Curie Yoon, Dalhong Lim, Yeongwoong Kim ...
논문제목: MEDO: Minimizing Effective Distortions Only for Machine-Oriented Visual Feature Compression. 학생저자: 윤규리, 임달홍, 김영웅, 정혜원. [축!] 석사 ...