1 code implementation • 21 Mar 2023 • Geonmo Gu, Sanghyuk Chun, Wonjae Kim, HeeJae Jun, Yoohoon Kang, Sangdoo Yun
This paper proposes a novel diffusion-based model, CompoDiff, for solving zero-shot Composed Image Retrieval (ZS-CIR) with latent diffusion.
no code implementations • 26 May 2020 • Yang-Ho Ji, HeeJae Jun, Insik Kim, Jongtack Kim, Youngjoon Kim, Byungsoo Ko, Hyong-Keun Kook, Jingeun Lee, Sangwon Lee, Sanghyuk Park
In this paper, we propose an effective pipeline for clothes retrieval system which has sturdiness on large-scale real-world fashion data.
no code implementations • 27 Jul 2019 • Byungsoo Ko, Minchul Shin, Geonmo Gu, HeeJae Jun, Tae Kwan Lee, Youngjoon Kim
Many studies have been performed on metric learning, which has become a key ingredient in top-performing methods of instance-level image retrieval.
7 code implementations • arXiv 2019 • HeeJae Jun, Byungsoo Ko, Youngjoon Kim, Insik Kim, Jongtack Kim
Recent studies in image retrieval task have shown that ensembling different models and combining multiple global descriptors lead to performance improvement.
Ranked #1 on
Image Retrieval
on CUB-200-2011