Learning Style-Invariant Robust Representation for Generalizable Visual Instance Retrieval
Tianyu Chang, Xun Yang, Xin Luo, Wei Ji, Meng Wang · 2023
Visual Instance Retrieval (VIR) is a hot research topic for its wide application in real world, such as object re-identification in smart city scenarios. However, due to the limited style diversity in source training data, most existing VIR models always fail to generalize well to unseen domain. How to improve the generalizability of VIR models has received increasing attention in most recent years.