Understanding Image Retrieval Re-Ranking: A Graph Neural Network
Perspective

Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective

14 December 2020

Errui Ding

Yi Yang

Papers citing "Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective"

7 / 7 papers shown

Title
Cluster-Aware Similarity Diffusion for Instance Retrieval Jifei Luo Hantao Yao Changsheng Xu 30 0 0 04 Jun 2024
Using LLM to select the right SQL Query from candidates Zhenwen Li Tao Xie LLMAG 38 9 0 04 Jan 2024
Graph Convolution Based Efficient Re-Ranking for Visual Retrieval Yuqi Zhang Qi Qian Hongsong Wang Chong Liu Weihua Chen Fan Wang 25 16 0 15 Jun 2023
Graph Neural Networks in Vision-Language Image Understanding: A Survey Henry Senior Greg Slabaugh Shanxin Yuan Luca Rossi GNN 33 13 0 07 Mar 2023
MABNet: Master Assistant Buddy Network with Hybrid Learning for Image Retrieval Rohit Agarwal Gyanendra Das Saksham Aggarwal Alexander Horsch Dilip K. Prasad 24 0 0 06 Mar 2023
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space Yaohua Wang Yaobin Zhang Fangyi Zhang Ming-Ching Lin Yuqi Zhang Senzhang Wang Xiuyu Sun CVBM 21 29 0 08 Feb 2022
Moving Towards Centers: Re-ranking with Attention and Memory for Re-identification Yunhao Zhou Yi Wang Lap-Pui Chau 51 10 0 04 May 2021