CVPR 2022 Open Access Repository

Vision Datasets Understanding

On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models: Marvin Klingner,

Konstantin Müller,

Mona Mirzaie,

Jasmin Breitenstein,

Jan-Aike Termöhlen,

Tim Fingscheidt; [pdf]
[bibtex]
@InProceedings{Klingner_2022_CVPR, author = {Klingner, Marvin and M\"uller, Konstantin and Mirzaie, Mona and Breitenstein, Jasmin and Term\"ohlen, Jan-Aike and Fingscheidt, Tim}, title = {On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4803-4812} }
Delving Into High-Quality Synthetic Face Occlusion Segmentation Datasets: Kenny T. R. Voo,

Liming Jiang,

Chen Change Loy; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Voo_2022_CVPR, author = {Voo, Kenny T. R. and Jiang, Liming and Loy, Chen Change}, title = {Delving Into High-Quality Synthetic Face Occlusion Segmentation Datasets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4711-4720} }
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics: David M. Chan,

Austin Myers,

Sudheendra Vijayanarasimhan,

David A. Ross,

Bryan Seybold,

John F. Canny; [pdf] [supp]
[bibtex]
@InProceedings{Chan_2022_CVPR, author = {Chan, David M. and Myers, Austin and Vijayanarasimhan, Sudheendra and Ross, David A. and Seybold, Bryan and Canny, John F.}, title = {What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4740-4749} }
Self-Supervision Versus Synthetic Datasets: Which Is the Lesser Evil in the Context of Video Denoising?: Valéry Dewil,

Arnaud Barral,

Gabriele Facciolo,

Pablo Arias; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dewil_2022_CVPR, author = {Dewil, Val\'ery and Barral, Arnaud and Facciolo, Gabriele and Arias, Pablo}, title = {Self-Supervision Versus Synthetic Datasets: Which Is the Lesser Evil in the Context of Video Denoising?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4900-4910} }
Video Action Detection: Analysing Limitations and Challenges: Rajat Modi,

Aayush Jung Rana,

Akash Kumar,

Praveen Tirupattur,

Shruti Vyas,

Yogesh Rawat,

Mubarak Shah; [pdf] [arXiv]
[bibtex]
@InProceedings{Modi_2022_CVPR, author = {Modi, Rajat and Rana, Aayush Jung and Kumar, Akash and Tirupattur, Praveen and Vyas, Shruti and Rawat, Yogesh and Shah, Mubarak}, title = {Video Action Detection: Analysing Limitations and Challenges}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4911-4920} }
deepPIC: Deep Perceptual Image Clustering for Identifying Bias in Vision Datasets: Nikita Jaipuria,

Katherine Stevo,

Xianling Zhang,

Meghana L. Gaopande,

Ian Calle,

Jinesh Jain,

Vidya N. Murali; [pdf]
[bibtex]
@InProceedings{Jaipuria_2022_CVPR, author = {Jaipuria, Nikita and Stevo, Katherine and Zhang, Xianling and Gaopande, Meghana L. and Calle, Ian and Jain, Jinesh and Murali, Vidya N.}, title = {deepPIC: Deep Perceptual Image Clustering for Identifying Bias in Vision Datasets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4793-4802} }
Few-Shot Image Classification Benchmarks Are Too Far From Reality: Build Back Better With Semantic Task Sampling: Etienne Bennequin,

Myriam Tami,

Antoine Toubhans,

Céline Hudelot; [pdf] [arXiv]
[bibtex]
@InProceedings{Bennequin_2022_CVPR, author = {Bennequin, Etienne and Tami, Myriam and Toubhans, Antoine and Hudelot, C\'eline}, title = {Few-Shot Image Classification Benchmarks Are Too Far From Reality: Build Back Better With Semantic Task Sampling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4767-4776} }
Investigating Neural Architectures by Synthetic Dataset Design: Adrien Courtois,

Jean-Michel Morel,

Pablo Arias; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Courtois_2022_CVPR, author = {Courtois, Adrien and Morel, Jean-Michel and Arias, Pablo}, title = {Investigating Neural Architectures by Synthetic Dataset Design}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4890-4899} }
Mitigating Paucity of Data in Sinusoid Characterization Using Generative Synthetic Noise: Sam Sattarzadeh,

Shervin Manzuri Shalmani,

Shervin Azad; [pdf]
[bibtex]
@InProceedings{Sattarzadeh_2022_CVPR, author = {Sattarzadeh, Sam and Shalmani, Shervin Manzuri and Azad, Shervin}, title = {Mitigating Paucity of Data in Sinusoid Characterization Using Generative Synthetic Noise}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4840-4849} }
A Challenging Benchmark of Anime Style Recognition: Haotang Li,

Shengtao Guo,

Kailin Lyu,

Xiao Yang,

Tianchen Chen,

Jianqing Zhu,

Huanqiang Zeng; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2022_CVPR, author = {Li, Haotang and Guo, Shengtao and Lyu, Kailin and Yang, Xiao and Chen, Tianchen and Zhu, Jianqing and Zeng, Huanqiang}, title = {A Challenging Benchmark of Anime Style Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4721-4730} }
Analysis of Temporal Tensor Datasets on Product Grassmann Manifold: Bojan Batalo,

Lincon S. Souza,

Bernardo B. Gatto,

Naoya Sogi,

Kazuhiro Fukui; [pdf]
[bibtex]
@InProceedings{Batalo_2022_CVPR, author = {Batalo, Bojan and Souza, Lincon S. and Gatto, Bernardo B. and Sogi, Naoya and Fukui, Kazuhiro}, title = {Analysis of Temporal Tensor Datasets on Product Grassmann Manifold}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4869-4877} }
Rethinking Illumination for Person Re-Identification: A Unified View: Suncheng Xiang,

Guanjie You,

Leqi Li,

Mengyuan Guan,

Ting Liu,

Dahong Qian,

Yuzhuo Fu; [pdf]
[bibtex]
@InProceedings{Xiang_2022_CVPR, author = {Xiang, Suncheng and You, Guanjie and Li, Leqi and Guan, Mengyuan and Liu, Ting and Qian, Dahong and Fu, Yuzhuo}, title = {Rethinking Illumination for Person Re-Identification: A Unified View}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4731-4739} }
The Topology and Language of Relationships in the Visual Genome Dataset: David Abou Chacra,

John Zelek; [pdf] [supp]
[bibtex]
@InProceedings{Chacra_2022_CVPR, author = {Chacra, David Abou and Zelek, John}, title = {The Topology and Language of Relationships in the Visual Genome Dataset}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4860-4868} }
Dataset Distillation by Matching Training Trajectories: George Cazenavette,

Tongzhou Wang,

Antonio Torralba,

Alexei A. Efros,

Jun-Yan Zhu; [pdf] [arXiv]
[bibtex]
@InProceedings{Cazenavette_2022_CVPR, author = {Cazenavette, George and Wang, Tongzhou and Torralba, Antonio and Efros, Alexei A. and Zhu, Jun-Yan}, title = {Dataset Distillation by Matching Training Trajectories}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4750-4759} }
Can We Trust Bounding Box Annotations for Object Detection?: Jeffri Murrugarra-Llerena,

Lucas N. Kirsten,

Claudio R. Jung; [pdf]
[bibtex]
@InProceedings{Murrugarra-Llerena_2022_CVPR, author = {Murrugarra-Llerena, Jeffri and Kirsten, Lucas N. and Jung, Claudio R.}, title = {Can We Trust Bounding Box Annotations for Object Detection?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4813-4822} }
Can the Mathematical Correctness of Object Configurations Affect the Accuracy of Their Perception?: Han Jiang,

Zeqian Li,

Jacob Whitehill; [pdf]
[bibtex]
@InProceedings{Jiang_2022_CVPR, author = {Jiang, Han and Li, Zeqian and Whitehill, Jacob}, title = {Can the Mathematical Correctness of Object Configurations Affect the Accuracy of Their Perception?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4760-4766} }
Why Object Detectors Fail: Investigating the Influence of the Dataset: Dimity Miller,

Georgia Goode,

Callum Bennie,

Peyman Moghadam,

Raja Jurdak; [pdf]
[bibtex]
@InProceedings{Miller_2022_CVPR, author = {Miller, Dimity and Goode, Georgia and Bennie, Callum and Moghadam, Peyman and Jurdak, Raja}, title = {Why Object Detectors Fail: Investigating the Influence of the Dataset}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4823-4830} }
Dark Corner on Skin Lesion Image Dataset: Does It Matter?: Samuel William Pewton,

Moi Hoon Yap; [pdf]
[bibtex]
@InProceedings{Pewton_2022_CVPR, author = {Pewton, Samuel William and Yap, Moi Hoon}, title = {Dark Corner on Skin Lesion Image Dataset: Does It Matter?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4831-4839} }
A3D: Studying Pretrained Representations With Programmable Datasets: Ye Wang,

Norman Mu,

Daniele Grandi,

Nicolas Savva,

Jacob Steinhardt; [pdf]
[bibtex]
@InProceedings{Wang_2022_CVPR, author = {Wang, Ye and Mu, Norman and Grandi, Daniele and Savva, Nicolas and Steinhardt, Jacob}, title = {A3D: Studying Pretrained Representations With Programmable Datasets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4878-4889} }
BigDetection: A Large-Scale Benchmark for Improved Object Detector Pre-Training: Likun Cai,

Zhi Zhang,

Yi Zhu,

Li Zhang,

Mu Li,

Xiangyang Xue; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cai_2022_CVPR, author = {Cai, Likun and Zhang, Zhi and Zhu, Yi and Zhang, Li and Li, Mu and Xue, Xiangyang}, title = {BigDetection: A Large-Scale Benchmark for Improved Object Detector Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4777-4787} }
Towards Explaining Image-Based Distribution Shifts: Sean Kulinski,

David I. Inouye; [pdf] [supp]
[bibtex]
@InProceedings{Kulinski_2022_CVPR, author = {Kulinski, Sean and Inouye, David I.}, title = {Towards Explaining Image-Based Distribution Shifts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4788-4792} }
The Effect of Improving Annotation Quality on Object Detection Datasets: A Preliminary Study: Jiaxin Ma,

Yoshitaka Ushiku,

Miori Sagara; [pdf] [supp]
[bibtex]
@InProceedings{Ma_2022_CVPR, author = {Ma, Jiaxin and Ushiku, Yoshitaka and Sagara, Miori}, title = {The Effect of Improving Annotation Quality on Object Detection Datasets: A Preliminary Study}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4850-4859} }