ICCV 2025 Open Access Repository

6th Workshop on Continual Learning in Computer Vision

B-cos Networks as an Architectural Inductive Bias for Mitigating Catastrophic Forgetting: Amelia Sorrenti,

Giovanni Bellitto,

Salvatore Calcagno,

Rutger Hendrix,

Concetto Spampinato,

Simone Palazzo; [pdf]
[bibtex]
@InProceedings{Sorrenti_2025_ICCV, author = {Sorrenti, Amelia and Bellitto, Giovanni and Calcagno, Salvatore and Hendrix, Rutger and Spampinato, Concetto and Palazzo, Simone}, title = {B-cos Networks as an Architectural Inductive Bias for Mitigating Catastrophic Forgetting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5205-5213} }
Evolving from Unknown to Known: Retentive Angular Representation Learning for Incremental Open Set Recognition: Runqing Yang,

Yimin Fu,

Changyuan Wu,

Zhunga Liu; [pdf] [arXiv]
[bibtex]
@InProceedings{Yang_2025_ICCV, author = {Yang, Runqing and Fu, Yimin and Wu, Changyuan and Liu, Zhunga}, title = {Evolving from Unknown to Known: Retentive Angular Representation Learning for Incremental Open Set Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5195-5204} }
Core Tokensets for Data-efficient Sequential Training of Transformers: Subarnaduti Paul,

Manuel Brack,

Patrick Schramowski,

Kristian Kersting,

Martin Mundt; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Paul_2025_ICCV, author = {Paul, Subarnaduti and Brack, Manuel and Schramowski, Patrick and Kersting, Kristian and Mundt, Martin}, title = {Core Tokensets for Data-efficient Sequential Training of Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5174-5184} }
MONET: Multi-Modal Online Continual Learning with Novelty Estimation: Evelyn Chee,

Wynne Hsu,

Mong Li Lee; [pdf] [supp]
[bibtex]
@InProceedings{Chee_2025_ICCV, author = {Chee, Evelyn and Hsu, Wynne and Lee, Mong Li}, title = {MONET: Multi-Modal Online Continual Learning with Novelty Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5126-5135} }
Can Synthetic Images Conquer Forgetting? Beyond Unexplored Doubts in Few-Shot Class-Incremental Learning: Junsu Kim,

Yunhoe Ku,

Seungryul Baek; [pdf] [arXiv]
[bibtex]
@InProceedings{Kim_2025_ICCV, author = {Kim, Junsu and Ku, Yunhoe and Baek, Seungryul}, title = {Can Synthetic Images Conquer Forgetting? Beyond Unexplored Doubts in Few-Shot Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5214-5223} }
Does Prior Data Matter? Exploring Joint Training in the Context of Few-Shot Class-Incremental Learning: Shiwon Kim,

Dongjun Hwang,

Sungwon Woo,

Rita Singh; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kim_2025_ICCV, author = {Kim, Shiwon and Hwang, Dongjun and Woo, Sungwon and Singh, Rita}, title = {Does Prior Data Matter? Exploring Joint Training in the Context of Few-Shot Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5185-5194} }
RICO: Two Realistic Benchmarks and an In-Depth Analysis for Incremental Learning in Object Detection: Matthias Neuwirth-Trapp,

Maarten Bieshaar,

Danda Pani Paudel,

Luc Van Gool; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Neuwirth-Trapp_2025_ICCV, author = {Neuwirth-Trapp, Matthias and Bieshaar, Maarten and Paudel, Danda Pani and Van Gool, Luc}, title = {RICO: Two Realistic Benchmarks and an In-Depth Analysis for Incremental Learning in Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5153-5164} }
Accuracy Improvement of Prompt-based Continual Learning with Past Information: Ikki Kato,

Kazuhiro Hotta; [pdf]
[bibtex]
@InProceedings{Kato_2025_ICCV, author = {Kato, Ikki and Hotta, Kazuhiro}, title = {Accuracy Improvement of Prompt-based Continual Learning with Past Information}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5144-5152} }
Incremental Object Detection with Prompt-based Methods: Matthias Neuwirth-Trapp,

Maarten Bieshaar,

Danda Pani Paudel,

Luc Van Gool; [pdf] [arXiv]
[bibtex]
@InProceedings{Neuwirth-Trapp_2025_ICCV, author = {Neuwirth-Trapp, Matthias and Bieshaar, Maarten and Paudel, Danda Pani and Van Gool, Luc}, title = {Incremental Object Detection with Prompt-based Methods}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5165-5173} }
Adapting curricula by tracking the gap between validation and training loss: Raghavendra Singh; [pdf]
[bibtex]
@InProceedings{Singh_2025_ICCV, author = {Singh, Raghavendra}, title = {Adapting curricula by tracking the gap between validation and training loss}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5136-5143} }