ICCV 2023 Open Access Repository

4th Visual Inductive Priors for Data-Efficient Deep Learning Workshop

Using and Abusing Equivariance: Tom Edixhoven,

Attila Lengyel,

Jan C. van Gemert; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Edixhoven_2023_ICCV, author = {Edixhoven, Tom and Lengyel, Attila and van Gemert, Jan C.}, title = {Using and Abusing Equivariance}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {119-128} }
Video BagNet: Short Temporal Receptive Fields Increase Robustness in Long-Term Action Recognition: Ombretta Strafforello,

Xin Liu,

Klamer Schutte,

Jan van Gemert; [pdf] [arXiv]
[bibtex]
@InProceedings{Strafforello_2023_ICCV, author = {Strafforello, Ombretta and Liu, Xin and Schutte, Klamer and van Gemert, Jan}, title = {Video BagNet: Short Temporal Receptive Fields Increase Robustness in Long-Term Action Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {159-166} }
COSE: A Consistency-Sensitivity Metric for Saliency on Image Classification: Rangel Daroya,

Aaron Sun,

Subhransu Maji; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Daroya_2023_ICCV, author = {Daroya, Rangel and Sun, Aaron and Maji, Subhransu}, title = {COSE: A Consistency-Sensitivity Metric for Saliency on Image Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {149-158} }
DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning: Shunxin Wang,

Christoph Brune,

Raymond Veldhuis,

Nicola Strisciuglio; [pdf]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Shunxin and Brune, Christoph and Veldhuis, Raymond and Strisciuglio, Nicola}, title = {DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {129-138} }
Good Fences Make Good Neighbours: Imanol G. Estepa,

Jesús Rodríguez-de-Vera,

Bhalaji Nagarajan,

Petia Radeva; [pdf]
[bibtex]
@InProceedings{Estepa_2023_ICCV, author = {Estepa, Imanol G. and Rodr{\'\i}guez-de-Vera, Jes\'us and Nagarajan, Bhalaji and Radeva, Petia}, title = {Good Fences Make Good Neighbours}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {216-226} }
Data Efficient Single Image Dehazing via Adversarial Auto-Augmentation and Extended Atmospheric Scattering Model: Pranjay Shyam,

HyunJin Yoo; [pdf]
[bibtex]
@InProceedings{Shyam_2023_ICCV, author = {Shyam, Pranjay and Yoo, HyunJin}, title = {Data Efficient Single Image Dehazing via Adversarial Auto-Augmentation and Extended Atmospheric Scattering Model}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {227-237} }
Distilling Part-Whole Hierarchical Knowledge from a Huge Pretrained Class Agnostic Segmentation Framework: Ahmed Radwan,

Mohamed S. Shehata; [pdf]
[bibtex]
@InProceedings{Radwan_2023_ICCV, author = {Radwan, Ahmed and Shehata, Mohamed S.}, title = {Distilling Part-Whole Hierarchical Knowledge from a Huge Pretrained Class Agnostic Segmentation Framework}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {238-246} }
Padding Aware Neurons: Dario Garcia-Gasulla,

Victor Gimenez-Abalos,

Pablo Martin-Torres; [pdf] [arXiv]
[bibtex]
@InProceedings{Garcia-Gasulla_2023_ICCV, author = {Garcia-Gasulla, Dario and Gimenez-Abalos, Victor and Martin-Torres, Pablo}, title = {Padding Aware Neurons}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {99-108} }
Logarithm-Transform Aided Gaussian Sampling for Few-Shot Learning: Vaibhav Ganatra; [pdf] [arXiv]
[bibtex]
@InProceedings{Ganatra_2023_ICCV, author = {Ganatra, Vaibhav}, title = {Logarithm-Transform Aided Gaussian Sampling for Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {247-252} }
DeepVAT: A Self-Supervised Technique for Cluster Assessment in Image Datasets: Alokendu Mazumder,

Tirthajit Baruah,

Akash Kumar Singh,

Pagadala Krishna Murthy,

Vishwajeet Pattanaik,

Punit Rathore; [pdf] [arXiv]
[bibtex]
@InProceedings{Mazumder_2023_ICCV, author = {Mazumder, Alokendu and Baruah, Tirthajit and Singh, Akash Kumar and Murthy, Pagadala Krishna and Pattanaik, Vishwajeet and Rathore, Punit}, title = {DeepVAT: A Self-Supervised Technique for Cluster Assessment in Image Datasets}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {187-195} }
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets: Lorenzo Brigato,

Stavroula Mougiakakou; [pdf] [arXiv]
[bibtex]
@InProceedings{Brigato_2023_ICCV, author = {Brigato, Lorenzo and Mougiakakou, Stavroula}, title = {No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {139-148} }
RV-VAE: Integrating Random Variable Algebra into Variational Autoencoders: Vassilis C. Nicodemou,

Iason Oikonomidis,

Antonis Argyros; [pdf] [supp]
[bibtex]
@InProceedings{Nicodemou_2023_ICCV, author = {Nicodemou, Vassilis C. and Oikonomidis, Iason and Argyros, Antonis}, title = {RV-VAE: Integrating Random Variable Algebra into Variational Autoencoders}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {196-205} }
PARTICLE: Part Discovery and Contrastive Learning for Fine-Grained Recognition: Oindrila Saha,

Subhransu Maji; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Saha_2023_ICCV, author = {Saha, Oindrila and Maji, Subhransu}, title = {PARTICLE: Part Discovery and Contrastive Learning for Fine-Grained Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {167-176} }
Self-Supervised Learning of Contextualized Local Visual Embeddings: Thalles Silva,

Helio Pedrini,

Adín Ramírez; [pdf]
[bibtex]
@InProceedings{Silva_2023_ICCV, author = {Silva, Thalles and Pedrini, Helio and Ram{\'\i}rez, Ad{\'\i}n}, title = {Self-Supervised Learning of Contextualized Local Visual Embeddings}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {177-186} }
InterAug: A Tuning-Free Augmentation Policy for Data-Efficient and Robust Object Detection: Kowshik Thopalli,

Devi S,

Jayaraman J. Thiagarajan; [pdf]
[bibtex]
@InProceedings{Thopalli_2023_ICCV, author = {Thopalli, Kowshik and S, Devi and Thiagarajan, Jayaraman J.}, title = {InterAug: A Tuning-Free Augmentation Policy for Data-Efficient and Robust Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {253-261} }
Geometric Superpixel Representations for Efficient Image Classification with Graph Neural Networks: Radu A. Cosma,

Lukas Knobel,

Putri van der Linden,

David M. Knigge,

Erik J. Bekkers; [pdf] [supp]
[bibtex]
@InProceedings{Cosma_2023_ICCV, author = {Cosma, Radu A. and Knobel, Lukas and van der Linden, Putri and Knigge, David M. and Bekkers, Erik J.}, title = {Geometric Superpixel Representations for Efficient Image Classification with Graph Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {109-118} }
Geometric Contrastive Learning: Yeskendir Koishekenov,

Sharvaree Vadgama,

Riccardo Valperga,

Erik J. Bekkers; [pdf]
[bibtex]
@InProceedings{Koishekenov_2023_ICCV, author = {Koishekenov, Yeskendir and Vadgama, Sharvaree and Valperga, Riccardo and Bekkers, Erik J.}, title = {Geometric Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {206-215} }