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.
2 code implementations • ECCV 2018 • Seung-Wook Kim, Hyong-Keun Kook, Jee-Young Sun, Mun-Cheon Kang, Sung-Jea Ko
To overcome this limitation, we propose a CNN-based object detection architecture, referred to as a parallel feature pyramid (FP) network (PFPNet), where the FP is constructed by widening the network width instead of increasing the network depth.