Open-Domain Retrieval Under Multi-Modal Settings
Deep Image Retrieval Is Not Robust To Label Noise-
[pdf]
[arXiv]
[bibtex]@InProceedings{Dereka_2022_CVPR, author = {Dereka, Stanislav and Karpukhin, Ivan and Kolesnikov, Sergey}, title = {Deep Image Retrieval Is Not Robust To Label Noise}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4975-4980} }
Object Prior Embedded Network for Query-Agnostic Image Retrieval-
[pdf]
[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Yikang and Hsiao, Jen-hao and Ho, Chiuman}, title = {Object Prior Embedded Network for Query-Agnostic Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4969-4974} }
Cross-Modal Target Retrieval for Tracking by Natural Language-
[pdf]
[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Yihao and Yu, Jun and Cai, Zhongpeng and Pan, Yuwen}, title = {Cross-Modal Target Retrieval for Tracking by Natural Language}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4931-4940} }
Deep Normalized Cross-Modal Hashing With Bi-Direction Relation Reasoning-
[pdf]
[bibtex]@InProceedings{Sun_2022_CVPR, author = {Sun, Changchang and Latapie, Hugo and Liu, Gaowen and Yan, Yan}, title = {Deep Normalized Cross-Modal Hashing With Bi-Direction Relation Reasoning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4941-4949} }
Conditioned and Composed Image Retrieval Combining and Partially Fine-Tuning CLIP-Based Features-
[pdf]
[bibtex]@InProceedings{Baldrati_2022_CVPR, author = {Baldrati, Alberto and Bertini, Marco and Uricchio, Tiberio and Del Bimbo, Alberto}, title = {Conditioned and Composed Image Retrieval Combining and Partially Fine-Tuning CLIP-Based Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4959-4968} }
Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lu_2022_CVPR, author = {Lu, Jiaying and Ye, Xin and Ren, Yi and Yang, Yezhou}, title = {Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4921-4930} }
Embedding Arithmetic of Multimodal Queries for Image Retrieval-
[pdf]
[bibtex]@InProceedings{Couairon_2022_CVPR, author = {Couairon, Guillaume and Douze, Matthijs and Cord, Matthieu and Schwenk, Holger}, title = {Embedding Arithmetic of Multimodal Queries for Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4950-4958} }