CVPR 2023 Open Access Repository

2nd Workshop and Challenge on Vision Datasets Understanding

Consistency and Accuracy of CelebA Attribute Values: Haiyu Wu,

Grace Bezold,

Manuel Günther,

Terrance Boult,

Michael C. King,

Kevin W. Bowyer; [pdf] [supp]
[bibtex]
@InProceedings{Wu_2023_CVPR, author = {Wu, Haiyu and Bezold, Grace and G\"unther, Manuel and Boult, Terrance and King, Michael C. and Bowyer, Kevin W.}, title = {Consistency and Accuracy of CelebA Attribute Values}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {3258-3266} }
Digital Twin Tracking Dataset (DTTD): A New RGB+Depth 3D Dataset for Longer-Range Object Tracking Applications: Weiyu Feng,

Seth Z. Zhao,

Chuanyu Pan,

Adam Chang,

Yichen Chen,

Zekun Wang,

Allen Y. Yang; [pdf]
[bibtex]
@InProceedings{Feng_2023_CVPR, author = {Feng, Weiyu and Zhao, Seth Z. and Pan, Chuanyu and Chang, Adam and Chen, Yichen and Wang, Zekun and Yang, Allen Y.}, title = {Digital Twin Tracking Dataset (DTTD): A New RGB+Depth 3D Dataset for Longer-Range Object Tracking Applications}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {3289-3298} }
Exploring Video Frame Redundancies for Efficient Data Sampling and Annotation in Instance Segmentation: Jihun Yoon,

Min-Kook Choi; [pdf]
[bibtex]
@InProceedings{Yoon_2023_CVPR, author = {Yoon, Jihun and Choi, Min-Kook}, title = {Exploring Video Frame Redundancies for Efficient Data Sampling and Annotation in Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {3308-3317} }
Compensation Learning in Semantic Segmentation: Timo Kaiser,

Christoph Reinders,

Bodo Rosenhahn; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kaiser_2023_CVPR, author = {Kaiser, Timo and Reinders, Christoph and Rosenhahn, Bodo}, title = {Compensation Learning in Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {3267-3278} }
Scoring Your Prediction on Unseen Data: Yuhao Chen,

Shen Zhang,

Renjie Song; [pdf]
[bibtex]
@InProceedings{Chen_2023_CVPR, author = {Chen, Yuhao and Zhang, Shen and Song, Renjie}, title = {Scoring Your Prediction on Unseen Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {3279-3288} }
K-Means Clustering Based Feature Consistency Alignment for Label-Free Model Evaluation: Shuyu Miao,

Lin Zheng,

Jingjing Liu,

Hong Jin; [pdf]
[bibtex]
@InProceedings{Miao_2023_CVPR, author = {Miao, Shuyu and Zheng, Lin and Liu, Jingjing and Jin, Hong}, title = {K-Means Clustering Based Feature Consistency Alignment for Label-Free Model Evaluation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {3299-3307} }
WEDGE: A Multi-Weather Autonomous Driving Dataset Built From Generative Vision-Language Models: Aboli Marathe,

Deva Ramanan,

Rahee Walambe,

Ketan Kotecha; [pdf] [arXiv]
[bibtex]
@InProceedings{Marathe_2023_CVPR, author = {Marathe, Aboli and Ramanan, Deva and Walambe, Rahee and Kotecha, Ketan}, title = {WEDGE: A Multi-Weather Autonomous Driving Dataset Built From Generative Vision-Language Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {3318-3327} }