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

António Farinhas,

André F. T. Martins,

Pedro M. Q. Aguiar

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Farinhas_2021_ICCV, author = {Farinhas, Ant\'onio and Martins, Andr\'e 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,

Björn Barz,

Luca Iocchi,

Joachim Denzler

[pdf]

[bibtex]

@InProceedings{Brigato_2021_ICCV, author = {Brigato, Lorenzo and Barz, Bj\"orn 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} }