Integrating multi-label contrastive learning with dual adversarial graph neural networks for cross-modal retrieval

S Qian, D Xue, Q Fang, C Xu - IEEE Transactions on Pattern …, 2022 - ieeexplore.ieee.org
With the growing amount of multimodal data, cross-modal retrieval has attracted more and
more attention and become a hot research topic. To date, most of the existing techniques …

Integrating Multi-Label Contrastive Learning With Dual Adversarial Graph Neural Networks for Cross-Modal Retrieval.

S Qian, D Xue, Q Fang, C Xu - IEEE Transactions on Pattern …, 2023 - europepmc.org
With the growing amount of multimodal data, cross-modal retrieval has attracted more and
more attention and become a hot research topic. To date, most of the existing techniques …

Integrating Multi-Label Contrastive Learning With Dual Adversarial Graph Neural Networks for Cross-Modal Retrieval

S Qian, D Xue, Q Fang, C Xu - IEEE Transactions on Pattern Analysis …, 2023 - computer.org
With the growing amount of multimodal data, cross-modal retrieval has attracted more and
more attention and become a hot research topic. To date, most of the existing techniques …

Integrating Multi-Label Contrastive Learning With Dual Adversarial Graph Neural Networks for Cross-Modal Retrieval

S Qian, D Xue, Q Fang, C Xu - IEEE Transactions on Pattern Analysis …, 2023 - dl.acm.org
With the growing amount of multimodal data, cross-modal retrieval has attracted more and
more attention and become a hot research topic. To date, most of the existing techniques …

Integrating Multi-Label Contrastive Learning With Dual Adversarial Graph Neural Networks for Cross-Modal Retrieval

S Qian, D Xue, Q Fang, C Xu - IEEE transactions on …, 2023 - pubmed.ncbi.nlm.nih.gov
With the growing amount of multimodal data, cross-modal retrieval has attracted more and
more attention and become a hot research topic. To date, most of the existing techniques …