4th Workshop on Continual Learning in Computer Vision


Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-To-Fine Strategies on Sparse Data
Elena Camuffo,
Simone Milani
[pdf] [arXiv]
[bibtex]
@InProceedings{Camuffo_2023_CVPR, author = {Camuffo, Elena and Milani, Simone}, title = {Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-To-Fine Strategies on Sparse Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2447-2456} }

Are Labels Needed for Incremental Instance Learning?
Mert Kilickaya,
Joaquin Vanschoren
[pdf] [arXiv]
[bibtex]
@InProceedings{Kilickaya_2023_CVPR, author = {Kilickaya, Mert and Vanschoren, Joaquin}, title = {Are Labels Needed for Incremental Instance Learning?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2401-2409} }

A Closer Look at Rehearsal-Free Continual Learning
James Seale Smith,
Junjiao Tian,
Shaunak Halbe,
Yen-Chang Hsu,
Zsolt Kira
[pdf] [arXiv]
[bibtex]
@InProceedings{Smith_2023_CVPR, author = {Smith, James Seale and Tian, Junjiao and Halbe, Shaunak and Hsu, Yen-Chang and Kira, Zsolt}, title = {A Closer Look at Rehearsal-Free Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2410-2420} }

Simulating Task-Free Continual Learning Streams From Existing Datasets
Aristotelis Chrysakis,
Marie-Francine Moens
[pdf] [supp]
[bibtex]
@InProceedings{Chrysakis_2023_CVPR, author = {Chrysakis, Aristotelis and Moens, Marie-Francine}, title = {Simulating Task-Free Continual Learning Streams From Existing Datasets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2516-2524} }

Lifelong Learning of Task-Parameter Relationships for Knowledge Transfer
Shikhar Srivastava,
Mohammad Yaqub,
Karthik Nandakumar
[pdf]
[bibtex]
@InProceedings{Srivastava_2023_CVPR, author = {Srivastava, Shikhar and Yaqub, Mohammad and Nandakumar, Karthik}, title = {Lifelong Learning of Task-Parameter Relationships for Knowledge Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2525-2534} }

D3Former: Debiased Dual Distilled Transformer for Incremental Learning
Abdelrahman Mohamed,
Rushali Grandhe,
K. J. Joseph,
Salman Khan,
Fahad Khan
[pdf] [supp]
[bibtex]
@InProceedings{Mohamed_2023_CVPR, author = {Mohamed, Abdelrahman and Grandhe, Rushali and Joseph, K. J. and Khan, Salman and Khan, Fahad}, title = {D3Former: Debiased Dual Distilled Transformer for Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2421-2430} }

SCALE: Online Self-Supervised Lifelong Learning Without Prior Knowledge
Xiaofan Yu,
Yunhui Guo,
Sicun Gao,
Tajana Rosing
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yu_2023_CVPR, author = {Yu, Xiaofan and Guo, Yunhui and Gao, Sicun and Rosing, Tajana}, title = {SCALE: Online Self-Supervised Lifelong Learning Without Prior Knowledge}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2484-2495} }

Continual Domain Adaptation Through Pruning-Aided Domain-Specific Weight Modulation
Prasanna B,
Sunandini Sanyal,
R. Venkatesh Babu
[pdf] [arXiv]
[bibtex]
@InProceedings{B_2023_CVPR, author = {B, Prasanna and Sanyal, Sunandini and Babu, R. Venkatesh}, title = {Continual Domain Adaptation Through Pruning-Aided Domain-Specific Weight Modulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2457-2463} }

How Efficient Are Today's Continual Learning Algorithms?
Md Yousuf Harun,
Jhair Gallardo,
Tyler L. Hayes,
Christopher Kanan
[pdf]
[bibtex]
@InProceedings{Harun_2023_CVPR, author = {Harun, Md Yousuf and Gallardo, Jhair and Hayes, Tyler L. and Kanan, Christopher}, title = {How Efficient Are Today's Continual Learning Algorithms?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2431-2436} }

Density Map Distillation for Incremental Object Counting
Chenshen Wu,
Joost van de Weijer
[pdf] [arXiv]
[bibtex]
@InProceedings{Wu_2023_CVPR, author = {Wu, Chenshen and van de Weijer, Joost}, title = {Density Map Distillation for Incremental Object Counting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2506-2515} }

CoVIO: Online Continual Learning for Visual-Inertial Odometry
Niclas Vödisch,
Daniele Cattaneo,
Wolfram Burgard,
Abhinav Valada
[pdf]
[bibtex]
@InProceedings{Vodisch_2023_CVPR, author = {V\"odisch, Niclas and Cattaneo, Daniele and Burgard, Wolfram and Valada, Abhinav}, title = {CoVIO: Online Continual Learning for Visual-Inertial Odometry}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2464-2473} }

Just a Glimpse: Rethinking Temporal Information for Video Continual Learning
Lama Alssum,
Juan León Alcázar,
Merey Ramazanova,
Chen Zhao,
Bernard Ghanem
[pdf]
[bibtex]
@InProceedings{Alssum_2023_CVPR, author = {Alssum, Lama and Alc\'azar, Juan Le\'on and Ramazanova, Merey and Zhao, Chen and Ghanem, Bernard}, title = {Just a Glimpse: Rethinking Temporal Information for Video Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2474-2483} }

Online Distillation With Continual Learning for Cyclic Domain Shifts
Joachim Houyon,
Anthony Cioppa,
Yasir Ghunaim,
Motasem Alfarra,
Anaïs Halin,
Maxim Henry,
Bernard Ghanem,
Marc Van Droogenbroeck
[pdf] [arXiv]
[bibtex]
@InProceedings{Houyon_2023_CVPR, author = {Houyon, Joachim and Cioppa, Anthony and Ghunaim, Yasir and Alfarra, Motasem and Halin, Ana{\"\i}s and Henry, Maxim and Ghanem, Bernard and Van Droogenbroeck, Marc}, title = {Online Distillation With Continual Learning for Cyclic Domain Shifts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2437-2446} }

CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning
Amir Nazemi,
Zeyad Moustafa,
Paul Fieguth
[pdf] [arXiv]
[bibtex]
@InProceedings{Nazemi_2023_CVPR, author = {Nazemi, Amir and Moustafa, Zeyad and Fieguth, Paul}, title = {CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2496-2505} }