Reranking Transformer Adapted For ViQuAE

Forked from uvavision/RerankingTransformer (https://github.com/uvavision/RerankingTransformer). Code for Instance-level Image Retrieval using Reranking Transformers Fuwen Tan, Jiangbo Yuan, Vicente Ordonez, ICCV 2021.

Software required

The code is only tested on Linux 64:

  conda create -n rrt python=3.6
  conda activate rrt
  pip install -r requirements.txt

Organization

To prepare ViQuAE dataset, please refer to the folder ViQuAE.

To use the code for experiments on Google Landmarks v2, Revisited Oxford/Paris and ViQuAE, please refer to the folder RRT_GLD.