WACV 2023 Open Access Repository

Dealing With the Novelty in Open Worlds

Is Meta-Learning Always Necessary?: A Practical ML Framework Solving Novel Tasks at Large-Scale Car Sharing Platform: Hyunhee Chung,

Kyung Ho Park; [pdf] [supp]
[bibtex]
@InProceedings{Chung_2023_WACV, author = {Chung, Hyunhee and Park, Kyung Ho}, title = {Is Meta-Learning Always Necessary?: A Practical ML Framework Solving Novel Tasks at Large-Scale Car Sharing Platform}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2023}, pages = {421-429} }
Phantom of Benchmark Dataset: Resolving Label Ambiguity Problem on Image Recognition in the Wild: Hyunhee Chung,

Kyung Ho Park,

Taewon Seo,

Sungwoo Cho; [pdf]
[bibtex]
@InProceedings{Chung_2023_WACV, author = {Chung, Hyunhee and Park, Kyung Ho and Seo, Taewon and Cho, Sungwoo}, title = {Phantom of Benchmark Dataset: Resolving Label Ambiguity Problem on Image Recognition in the Wild}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2023}, pages = {444-453} }
SOCAR: Socially-Obtained CAR Dataset for Image Recognition in the Wild: Taewon Seo,

Kyung Ho Park,

Hyunhee Chung; [pdf]
[bibtex]
@InProceedings{Seo_2023_WACV, author = {Seo, Taewon and Park, Kyung Ho and Chung, Hyunhee}, title = {SOCAR: Socially-Obtained CAR Dataset for Image Recognition in the Wild}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2023}, pages = {430-438} }
Test-Time Adaptation vs. Training-Time Generalization: A Case Study in Human Instance Segmentation Using Keypoints Estimation: Kambiz Azarian,

Debasmit Das,

Hyojin Park,

Fatih Porikli; [pdf] [arXiv]
[bibtex]
@InProceedings{Azarian_2023_WACV, author = {Azarian, Kambiz and Das, Debasmit and Park, Hyojin and Porikli, Fatih}, title = {Test-Time Adaptation vs. Training-Time Generalization: A Case Study in Human Instance Segmentation Using Keypoints Estimation}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2023}, pages = {411-420} }
K-NN Embeded Space Conditioning for Enhanced Few-Shot Object Detection: Stefan Matcovici,

Daniel Voinea,

Alin-Ionut Popa; [pdf]
[bibtex]
@InProceedings{Matcovici_2023_WACV, author = {Matcovici, Stefan and Voinea, Daniel and Popa, Alin-Ionut}, title = {K-NN Embeded Space Conditioning for Enhanced Few-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2023}, pages = {401-410} }
MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration: Zongyao Lyu,

Nolan B. Gutierrez,

William J. Beksi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lyu_2023_WACV, author = {Lyu, Zongyao and Gutierrez, Nolan B. and Beksi, William J.}, title = {MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2023}, pages = {439-443} }