/GCR

This code is the implementation of the framework in the paper ‘Graph-constrained Cross-modal Retrieval’

Primary LanguagePython

GCR

Lei Zhang, Leiting Chen, Chuan Zhou, Fan Yang, Xin Li Exploring Graph-Structured Semantics for Cross-Modal Retrieval [C], ACM International Conference on Multimedia (ACM MM), 2021: 4277–4286. (PyTorch Code)

Requirement

  • python 3.6
  • torch 1.5.0+

Training

python main.py

Citing GCR

@inproceedings{10.1145/3474085.3475567,
author = {Zhang, Lei and Chen, Leiting and Zhou, Chuan and Yang, Fan and Li, Xin},
title = {Exploring Graph-Structured Semantics for Cross-Modal Retrieval},
year = {2021},
isbn = {9781450386517},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
booktitle = {Proceedings of the 29th ACM International Conference on Multimedia},
pages = {4277–4286},
numpages = {10},
keywords = {adversarial learning, graph neural network, cross-modal retrieval},
location = {Virtual Event, China},
series = {MM '21}
}

Acknowledgements

In this project, we refer to previous work DSCMR to organize code.