An Effective Pipeline for a Real-world Clothes Retrieval System

Abstract

NAVER/LINE Vision † , Search Solution Vision ‡ {arnilone 1 , kobiso62 6 , hyongkuen63 7 , jglee0206 8 , shine0624 10 }@gmail.com {heejae.jun 2 , insik.kim 3 , jongtack.kim 4 , kim.youngjoon 5 , leee.sangwon 9 }@navercorp.com Detection Model Query Image × m Weighted Boxes Fusion (WBF) Bounding Boxes Retrieval Model × n Embeddings Feature Concatenation k-NN Search Retrieval Results k-reciprocal Re-ranking rank-1 rank-2 rank-3 rank-4 Final Results rank-1 rank-2 rank-3 rank-4 PCA Whitening well-performed ill-performed Post-processings QE & DBA Figure 1: The proposed pipeline for real-world clothes retrieval that consists of three components: detection, retrieval and post-processing. Blue boxes indicate the post-processing methods that performed well while red is for those that did not.