CVPR 2021 Open Access Repository

Continual Learning in Computer Vision

Insights From the Future for Continual Learning: Arthur Douillard,

Eduardo Valle,

Charles Ollion,

Thomas Robert,

Matthieu Cord; [pdf] [arXiv]
[bibtex]
@InProceedings{Douillard_2021_CVPR, author = {Douillard, Arthur and Valle, Eduardo and Ollion, Charles and Robert, Thomas and Cord, Matthieu}, title = {Insights From the Future for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3482-3491} }
Ternary Feature Masks: Zero-Forgetting for Task-Incremental Learning: Marc Masana,

Tinne Tuytelaars,

Joost van de Weijer; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Masana_2021_CVPR, author = {Masana, Marc and Tuytelaars, Tinne and van de Weijer, Joost}, title = {Ternary Feature Masks: Zero-Forgetting for Task-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3570-3579} }
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning: Zheda Mai,

Ruiwen Li,

Hyunwoo Kim,

Scott Sanner; [pdf] [arXiv]
[bibtex]
@InProceedings{Mai_2021_CVPR, author = {Mai, Zheda and Li, Ruiwen and Kim, Hyunwoo and Sanner, Scott}, title = {Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3589-3599} }
Cross-Domain Multi-Task Learning for Object Detection and Saliency Estimation: Apoorv Khattar,

Srinidhi Hegde,

Ramya Hebbalaguppe; [pdf]
[bibtex]
@InProceedings{Khattar_2021_CVPR, author = {Khattar, Apoorv and Hegde, Srinidhi and Hebbalaguppe, Ramya}, title = {Cross-Domain Multi-Task Learning for Object Detection and Saliency Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3639-3648} }
CL-Gym: Full-Featured PyTorch Library for Continual Learning: Seyed Iman Mirzadeh,

Hassan Ghasemzadeh; [pdf]
[bibtex]
@InProceedings{Mirzadeh_2021_CVPR, author = {Mirzadeh, Seyed Iman and Ghasemzadeh, Hassan}, title = {CL-Gym: Full-Featured PyTorch Library for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3621-3627} }
Avalanche: An End-to-End Library for Continual Learning: Vincenzo Lomonaco,

Lorenzo Pellegrini,

Andrea Cossu,

Antonio Carta,

Gabriele Graffieti,

Tyler L. Hayes,

Matthias De Lange,

Marc Masana,

Jary Pomponi,

Gido M. van de Ven,

Martin Mundt,

Qi She,

Keiland Cooper,

Jeremy Forest,

Eden Belouadah,

Simone Calderara,

German I. Parisi,

Fabio Cuzzolin,

Andreas S. Tolias,

Simone Scardapane,

Luca Antiga,

Subutai Ahmad,

Adrian Popescu,

Christopher Kanan,

Joost van de Weijer,

Tinne Tuytelaars,

Davide Bacciu,

Davide Maltoni; [pdf] [arXiv]
[bibtex]
@InProceedings{Lomonaco_2021_CVPR, author = {Lomonaco, Vincenzo and Pellegrini, Lorenzo and Cossu, Andrea and Carta, Antonio and Graffieti, Gabriele and Hayes, Tyler L. and De Lange, Matthias and Masana, Marc and Pomponi, Jary and van de Ven, Gido M. and Mundt, Martin and She, Qi and Cooper, Keiland and Forest, Jeremy and Belouadah, Eden and Calderara, Simone and Parisi, German I. and Cuzzolin, Fabio and Tolias, Andreas S. and Scardapane, Simone and Antiga, Luca and Ahmad, Subutai and Popescu, Adrian and Kanan, Christopher and van de Weijer, Joost and Tuytelaars, Tinne and Bacciu, Davide and Maltoni, Davide}, title = {Avalanche: An End-to-End Library for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3600-3610} }
Graph-Based Person Signature for Person Re-Identifications: Binh X. Nguyen,

Binh D. Nguyen,

Tuong Do,

Erman Tjiputra,

Quang D. Tran,

Anh Nguyen; [pdf] [arXiv]
[bibtex]
@InProceedings{Nguyen_2021_CVPR, author = {Nguyen, Binh X. and Nguyen, Binh D. and Do, Tuong and Tjiputra, Erman and Tran, Quang D. and Nguyen, Anh}, title = {Graph-Based Person Signature for Person Re-Identifications}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3492-3501} }
A Tale of Two CILs: The Connections Between Class Incremental Learning and Class Imbalanced Learning, and Beyond: Chen He,

Ruiping Wang,

Xilin Chen; [pdf] [supp]
[bibtex]
@InProceedings{He_2021_CVPR, author = {He, Chen and Wang, Ruiping and Chen, Xilin}, title = {A Tale of Two CILs: The Connections Between Class Incremental Learning and Class Imbalanced Learning, and Beyond}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3559-3569} }
Class-Incremental Experience Replay for Continual Learning Under Concept Drift: Lukasz Korycki,

Bartosz Krawczyk; [pdf] [arXiv]
[bibtex]
@InProceedings{Korycki_2021_CVPR, author = {Korycki, Lukasz and Krawczyk, Bartosz}, title = {Class-Incremental Experience Replay for Continual Learning Under Concept Drift}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3649-3658} }
ILCOC: An Incremental Learning Framework Based on Contrastive One-Class Classifiers: Wenju Sun,

Jing Zhang,

Danyu Wang,

Yangli-ao Geng,

Qingyong Li; [pdf]
[bibtex]
@InProceedings{Sun_2021_CVPR, author = {Sun, Wenju and Zhang, Jing and Wang, Danyu and Geng, Yangli-ao and Li, Qingyong}, title = {ILCOC: An Incremental Learning Framework Based on Contrastive One-Class Classifiers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3580-3588} }
Selective Replay Enhances Learning in Online Continual Analogical Reasoning: Tyler L. Hayes,

Christopher Kanan; [pdf] [arXiv]
[bibtex]
@InProceedings{Hayes_2021_CVPR, author = {Hayes, Tyler L. and Kanan, Christopher}, title = {Selective Replay Enhances Learning in Online Continual Analogical Reasoning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3502-3512} }
Continual Learning in Cross-Modal Retrieval: Kai Wang,

Luis Herranz,

Joost van de Weijer; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Kai and Herranz, Luis and van de Weijer, Joost}, title = {Continual Learning in Cross-Modal Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3628-3638} }
Plastic and Stable Gated Classifiers for Continual Learning: Nicholas I-Hsien Kuo,

Mehrtash Harandi,

Nicolas Fourrier,

Christian Walder,

Gabriela Ferraro,

Hanna Suominen; [pdf]
[bibtex]
@InProceedings{Kuo_2021_CVPR, author = {Kuo, Nicholas I-Hsien and Harandi, Mehrtash and Fourrier, Nicolas and Walder, Christian and Ferraro, Gabriela and Suominen, Hanna}, title = {Plastic and Stable Gated Classifiers for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3553-3558} }
Class-Incremental Learning With Generative Classifiers: Gido M. van de Ven,

Zhe Li,

Andreas S. Tolias; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{van_de_Ven_2021_CVPR, author = {van de Ven, Gido M. and Li, Zhe and Tolias, Andreas S.}, title = {Class-Incremental Learning With Generative Classifiers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3611-3620} }
Essentials for Class Incremental Learning: Sudhanshu Mittal,

Silvio Galesso,

Thomas Brox; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mittal_2021_CVPR, author = {Mittal, Sudhanshu and Galesso, Silvio and Brox, Thomas}, title = {Essentials for Class Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3513-3522} }
IB-DRR - Incremental Learning With Information-Back Discrete Representation Replay: Jian Jiang,

Edoardo Cetin,

Oya Celiktutan; [pdf] [supp]
[bibtex]
@InProceedings{Jiang_2021_CVPR, author = {Jiang, Jian and Cetin, Edoardo and Celiktutan, Oya}, title = {IB-DRR - Incremental Learning With Information-Back Discrete Representation Replay}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3533-3542} }
Dual-Teacher Class-Incremental Learning With Data-Free Generative Replay: Yoojin Choi,

Mostafa El-Khamy,

Jungwon Lee; [pdf] [supp]
[bibtex]
@InProceedings{Choi_2021_CVPR, author = {Choi, Yoojin and El-Khamy, Mostafa and Lee, Jungwon}, title = {Dual-Teacher Class-Incremental Learning With Data-Free Generative Replay}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3543-3552} }
Neural Architecture Search of Deep Priors: Towards Continual Learning Without Catastrophic Interference: Martin Mundt,

Iuliia Pliushch,

Visvanathan Ramesh; [pdf] [arXiv]
[bibtex]
@InProceedings{Mundt_2021_CVPR, author = {Mundt, Martin and Pliushch, Iuliia and Ramesh, Visvanathan}, title = {Neural Architecture Search of Deep Priors: Towards Continual Learning Without Catastrophic Interference}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3523-3532} }