D3still : Decoupled differential distillation for asymmetric image retrieval

• Main Authors: XIE, Yi, LIN, Yihong, CAI, Wenjie, XU, Xuemiao, ZHANG, Huaidong, DU, Yong, HE, Shengfeng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Asymmetric image retrieval; Decoupled differential distillation framework; Artificial Intelligence and Robotics; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/9776; https://ink.library.smu.edu.sg/context/sis_research/article/10776/viewcontent/Xie_D3still_CVPR_2024_paper.pdf
• Institution: Singapore Management University

Existing methods for asymmetric image retrieval employ a rigid pairwise similarity constraint between the query network and the larger gallery network. However, these oneto-one constraint approaches often fail to maintain retrieval order consistency, especially when the query network has limited rep...