Learning cross-modal retrieval with noisy labels

P Hu, X Peng, H Zhu, L Zhen… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Recently, cross-modal retrieval is emerging with the help of deep multimodal learning.
However, even for unimodal data, collecting large-scale well-annotated data is expensive …

[引用][C] Learning Cross-Modal Retrieval with Noisy Labels

P Hu, X Peng, H Zhu, L Zhen, J Lin - 2021 IEEE/CVF Conference on …, 2021 - cir.nii.ac.jp
Learning Cross-Modal Retrieval with Noisy Labels | CiNii Research CiNii 国立情報学研究所
学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす 大学 …

[PDF][PDF] Learning Cross-Modal Retrieval with Noisy Labels

P Hu, X Peng, H Zhu, L Zhen, J Lin - liangli-zhen.github.io
Recently, cross-modal retrieval is emerging with the help of deep multimodal learning.
However, even for unimodal data, collecting large-scale well-annotated data is expensive …

[PDF][PDF] Learning Cross-Modal Retrieval with Noisy Labels

P Hu, X Peng, H Zhu, L Zhen, J Lin - openaccess.thecvf.com
Recently, cross-modal retrieval is emerging with the help of deep multimodal learning.
However, even for unimodal data, collecting large-scale well-annotated data is expensive …

Learning Cross-Modal Retrieval with Noisy Labels

P Hu, X Peng, H Zhu, L Zhen, J Lin - 2021 IEEE/CVF Conference on …, 2021 - computer.org
Recently, cross-modal retrieval is emerging with the help of deep multimodal learning.
However, even for unimodal data, collecting large-scale well-annotated data is expensive …

Learning Cross-Modal Retrieval with Noisy Labels

P Hu, X Peng, H Zhu, L Zhen… - 2021 IEEE/CVF …, 2021 - ieeexplore.ieee.org
Recently, cross-modal retrieval is emerging with the help of deep multimodal learning.
However, even for unimodal data, collecting large-scale well-annotated data is expensive …

[PDF][PDF] Learning Cross-Modal Retrieval with Noisy Labels

P Hu, X Peng, H Zhu, L Zhen, J Lin - pengxi.me
Recently, cross-modal retrieval is emerging with the help of deep multimodal learning.
However, even for unimodal data, collecting large-scale well-annotated data is expensive …