Visual Inductive Priors for Data-Efficient Deep Learning


LSD-C: Linearly Separable Deep Clusters
Sylvestre-Alvise Rebuffi,
Sebastien Ehrhardt,
Kai Han,
Andrea Vedaldi,
Andrew Zisserman
[pdf] [supp]
[bibtex]
@InProceedings{Rebuffi_2021_ICCV, author = {Rebuffi, Sylvestre-Alvise and Ehrhardt, Sebastien and Han, Kai and Vedaldi, Andrea and Zisserman, Andrew}, title = {LSD-C: Linearly Separable Deep Clusters}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {1038-1046} }

Relational Prior for Multi-Object Tracking
Artem Moskalev,
Ivan Sosnovik,
Arnold Smeulders
[pdf]
[bibtex]
@InProceedings{Moskalev_2021_ICCV, author = {Moskalev, Artem and Sosnovik, Ivan and Smeulders, Arnold}, title = {Relational Prior for Multi-Object Tracking}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {1081-1085} }

Self-Supervised Visual Attribute Learning for Fashion Compatibility
Donghyun Kim,
Kuniaki Saito,
Samarth Mishra,
Stan Sclaroff,
Kate Saenko,
Bryan A. Plummer
[pdf] [arXiv]
[bibtex]
@InProceedings{Kim_2021_ICCV, author = {Kim, Donghyun and Saito, Kuniaki and Mishra, Samarth and Sclaroff, Stan and Saenko, Kate and Plummer, Bryan A.}, title = {Self-Supervised Visual Attribute Learning for Fashion Compatibility}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {1057-1066} }

Few-Shot Learning With Online Self-Distillation
Sihan Liu,
Yue Wang
[pdf]
[bibtex]
@InProceedings{Liu_2021_ICCV, author = {Liu, Sihan and Wang, Yue}, title = {Few-Shot Learning With Online Self-Distillation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {1067-1070} }

ScatSimCLR: Self-Supervised Contrastive Learning With Pretext Task Regularization for Small-Scale Datasets
Vitaliy Kinakh,
Olga Taran,
Svyatoslav Voloshynovskiy
[pdf] [arXiv]
[bibtex]
@InProceedings{Kinakh_2021_ICCV, author = {Kinakh, Vitaliy and Taran, Olga and Voloshynovskiy, Svyatoslav}, title = {ScatSimCLR: Self-Supervised Contrastive Learning With Pretext Task Regularization for Small-Scale Datasets}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {1098-1106} }

Deep Manifold Prior
Matheus Gadelha,
Rui Wang,
Subhransu Maji
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gadelha_2021_ICCV, author = {Gadelha, Matheus and Wang, Rui and Maji, Subhransu}, title = {Deep Manifold Prior}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {1107-1116} }

Multimodal Continuous Visual Attention Mechanisms
Antonio Farinhas,
Andre F. T. Martins,
Pedro M. Q. Aguiar
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Farinhas_2021_ICCV, author = {Farinhas, Antonio and Martins, Andre F. T. and Aguiar, Pedro M. Q.}, title = {Multimodal Continuous Visual Attention Mechanisms}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {1047-1056} }

How To Transform Kernels for Scale-Convolutions
Ivan Sosnovik,
Artem Moskalev,
Arnold Smeulders
[pdf]
[bibtex]
@InProceedings{Sosnovik_2021_ICCV, author = {Sosnovik, Ivan and Moskalev, Artem and Smeulders, Arnold}, title = {How To Transform Kernels for Scale-Convolutions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {1092-1097} }

Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
Lorenzo Brigato,
Bjorn Barz,
Luca Iocchi,
Joachim Denzler
[pdf]
[bibtex]
@InProceedings{Brigato_2021_ICCV, author = {Brigato, Lorenzo and Barz, Bjorn and Iocchi, Luca and Denzler, Joachim}, title = {Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {1071-1080} }

Predictive Coding With Topographic Variational Autoencoders
T. Anderson Keller,
Max Welling
[pdf]
[bibtex]
@InProceedings{Keller_2021_ICCV, author = {Keller, T. Anderson and Welling, Max}, title = {Predictive Coding With Topographic Variational Autoencoders}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {1086-1091} }