ICCV 2023 Open Access Repository

Visual Continual Learning

Unseen And Adverse Outdoor Scenes Recognition Through Event-Based Captions: Hidetomo Sakaino; [pdf]
[bibtex]
@InProceedings{Sakaino_2023_ICCV, author = {Sakaino, Hidetomo}, title = {Unseen And Adverse Outdoor Scenes Recognition Through Event-Based Captions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3594-3601} }
A Simple Signal for Domain Shift: Goirik Chakrabarty,

Manogna Sreenivas,

Soma Biswas; [pdf]
[bibtex]
@InProceedings{Chakrabarty_2023_ICCV, author = {Chakrabarty, Goirik and Sreenivas, Manogna and Biswas, Soma}, title = {A Simple Signal for Domain Shift}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3577-3584} }
Progressive Feature Adjustment for Semi-Supervised Learning from Pretrained Models: Hai-Ming Xu,

Lingqiao Liu,

Hao Chen,

Ehsan Abbasnejad,

Rafael Felix; [pdf] [arXiv]
[bibtex]
@InProceedings{Xu_2023_ICCV, author = {Xu, Hai-Ming and Liu, Lingqiao and Chen, Hao and Abbasnejad, Ehsan and Felix, Rafael}, title = {Progressive Feature Adjustment for Semi-Supervised Learning from Pretrained Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3292-3302} }
Memory Population in Continual Learning via Outlier Elimination: Julio Hurtado,

Alain Raymond-Sáez,

Vladimir Araujo,

Vincenzo Lomonaco,

Alvaro Soto,

Davide Bacciu; [pdf]
[bibtex]
@InProceedings{Hurtado_2023_ICCV, author = {Hurtado, Julio and Raymond-S\'aez, Alain and Araujo, Vladimir and Lomonaco, Vincenzo and Soto, Alvaro and Bacciu, Davide}, title = {Memory Population in Continual Learning via Outlier Elimination}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3481-3490} }
Multi-Task Consistency for Active Learning: Aral Hekimoglu,

Philipp Friedrich,

Walter Zimmer,

Michael Schmidt,

Alvaro Marcos-Ramiro,

Alois Knoll; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hekimoglu_2023_ICCV, author = {Hekimoglu, Aral and Friedrich, Philipp and Zimmer, Walter and Schmidt, Michael and Marcos-Ramiro, Alvaro and Knoll, Alois}, title = {Multi-Task Consistency for Active Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3415-3424} }
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning: Marco D'Alessandro,

Alberto Alonso,

Enrique Calabrés,

Mikel Galar; [pdf]
[bibtex]
@InProceedings{D'Alessandro_2023_ICCV, author = {D'Alessandro, Marco and Alonso, Alberto and Calabr\'es, Enrique and Galar, Mikel}, title = {Multimodal Parameter-Efficient Few-Shot Class Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3393-3403} }
Improving Replay Sample Selection and Storage for Less Forgetting in Continual Learning: Daniel Brignac,

Niels Lobo,

Abhijit Mahalanobis; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Brignac_2023_ICCV, author = {Brignac, Daniel and Lobo, Niels and Mahalanobis, Abhijit}, title = {Improving Replay Sample Selection and Storage for Less Forgetting in Continual Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3540-3549} }
Class-Incremental Learning Using Diffusion Model for Distillation and Replay: Quentin Jodelet,

Xin Liu,

Yin Jun Phua,

Tsuyoshi Murata; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jodelet_2023_ICCV, author = {Jodelet, Quentin and Liu, Xin and Phua, Yin Jun and Murata, Tsuyoshi}, title = {Class-Incremental Learning Using Diffusion Model for Distillation and Replay}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3425-3433} }
Trajectory-Prediction with Vision: A Survey: Apoorv Singh; [pdf] [arXiv]
[bibtex]
@InProceedings{Singh_2023_ICCV, author = {Singh, Apoorv}, title = {Trajectory-Prediction with Vision: A Survey}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3318-3323} }
ScrollNet: DynamicWeight Importance for Continual Learning: Fei Yang,

Kai Wang,

Joost van de Weijer; [pdf]
[bibtex]
@InProceedings{Yang_2023_ICCV, author = {Yang, Fei and Wang, Kai and van de Weijer, Joost}, title = {ScrollNet: DynamicWeight Importance for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3345-3355} }
Memory-Augmented Variational Adaptation for Online Few-Shot Segmentation: Jie Liu,

Yingjun Du,

Zehao Xiao,

Cees G.M Snoek,

Jan-Jakob Sonke,

Efstratios Gavves; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2023_ICCV, author = {Liu, Jie and Du, Yingjun and Xiao, Zehao and Snoek, Cees G.M and Sonke, Jan-Jakob and Gavves, Efstratios}, title = {Memory-Augmented Variational Adaptation for Online Few-Shot Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3324-3333} }
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation: Damian Sójka,

Sebastian Cygert,

Bartłomiej Twardowski,

Tomasz Trzciński; [pdf] [supp]
[bibtex]
@InProceedings{Sojka_2023_ICCV, author = {S\'ojka, Damian and Cygert, Sebastian and Twardowski, Bart{\l}omiej and Trzci\'nski, Tomasz}, title = {AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3491-3495} }
Comparative Study of Natural Replay and Experience Replay in Online Object Detection: Baptiste Wagner,

Denis Pellerin,

Sylvain Huet; [pdf]
[bibtex]
@InProceedings{Wagner_2023_ICCV, author = {Wagner, Baptiste and Pellerin, Denis and Huet, Sylvain}, title = {Comparative Study of Natural Replay and Experience Replay in Online Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3585-3593} }
Selective Freezing for Efficient Continual Learning: Amelia Sorrenti,

Giovanni Bellitto,

Federica Proietto Salanitri,

Matteo Pennisi,

Concetto Spampinato,

Simone Palazzo; [pdf]
[bibtex]
@InProceedings{Sorrenti_2023_ICCV, author = {Sorrenti, Amelia and Bellitto, Giovanni and Salanitri, Federica Proietto and Pennisi, Matteo and Spampinato, Concetto and Palazzo, Simone}, title = {Selective Freezing for Efficient Continual Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3550-3559} }
Multi-Task Hypergraphs for Semi-Supervised Learning Using Earth Observations: Mihai Pirvu,

Alina Marcu,

Maria Alexandra Dobrescu,

Ahmed Nabil Belbachir,

Marius Leordeanu; [pdf] [arXiv]
[bibtex]
@InProceedings{Pirvu_2023_ICCV, author = {Pirvu, Mihai and Marcu, Alina and Dobrescu, Maria Alexandra and Belbachir, Ahmed Nabil and Leordeanu, Marius}, title = {Multi-Task Hypergraphs for Semi-Supervised Learning Using Earth Observations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3404-3414} }
Identification of Novel Classes for Improving Few-Shot Object Detection: Zeyu Shangguan,

Mohammad Rostami; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shangguan_2023_ICCV, author = {Shangguan, Zeyu and Rostami, Mohammad}, title = {Identification of Novel Classes for Improving Few-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3356-3366} }
Continual Learning with Deep Streaming Regularized Discriminant Analysis: Joe Khawand,

Peter Hanappe,

David Colliaux; [pdf] [arXiv]
[bibtex]
@InProceedings{Khawand_2023_ICCV, author = {Khawand, Joe and Hanappe, Peter and Colliaux, David}, title = {Continual Learning with Deep Streaming Regularized Discriminant Analysis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3455-3462} }
Decision Boundary Optimization for Few-Shot Class-Incremental Learning: Chenxu Guo,

Qi Zhao,

Shuchang Lyu,

Binghao Liu,

Chunlei Wang,

Lijiang Chen,

Guangliang Cheng; [pdf]
[bibtex]
@InProceedings{Guo_2023_ICCV, author = {Guo, Chenxu and Zhao, Qi and Lyu, Shuchang and Liu, Binghao and Wang, Chunlei and Chen, Lijiang and Cheng, Guangliang}, title = {Decision Boundary Optimization for Few-Shot Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3501-3511} }
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-Free Continual Learning: Filip Szatkowski,

Mateusz Pyla,

Marcin Przewięźlikowski,

Sebastian Cygert,

Bartłomiej Twardowski,

Tomasz Trzciński; [pdf] [supp]
[bibtex]
@InProceedings{Szatkowski_2023_ICCV, author = {Szatkowski, Filip and Pyla, Mateusz and Przewi\k{e}\'zlikowski, Marcin and Cygert, Sebastian and Twardowski, Bart{\l}omiej and Trzci\'nski, Tomasz}, title = {Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-Free Continual Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3512-3517} }
SAM-Adapter: Adapting Segment Anything in Underperformed Scenes: Tianrun Chen,

Lanyun Zhu,

Chaotao Deng,

Runlong Cao,

Yan Wang,

Shangzhan Zhang,

Zejian Li,

Lingyun Sun,

Ying Zang,

Papa Mao; [pdf]
[bibtex]
@InProceedings{Chen_2023_ICCV, author = {Chen, Tianrun and Zhu, Lanyun and Deng, Chaotao and Cao, Runlong and Wang, Yan and Zhang, Shangzhan and Li, Zejian and Sun, Lingyun and Zang, Ying and Mao, Papa}, title = {SAM-Adapter: Adapting Segment Anything in Underperformed Scenes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3367-3375} }
Flashback for Continual Learning: Leila Mahmoodi,

Mehrtash Harandi,

Peyman Moghadam; [pdf]
[bibtex]
@InProceedings{Mahmoodi_2023_ICCV, author = {Mahmoodi, Leila and Harandi, Mehrtash and Moghadam, Peyman}, title = {Flashback for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3434-3443} }
Confusion Mixup Regularized Multimodal Fusion Network for Continual Egocentric Activity Recognition: Hanxin Wang,

Shuchang Zhou,

Qingbo Wu,

Hongliang Li,

Fanman Meng,

Linfeng Xu,

Heqian Qiu; [pdf]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Hanxin and Zhou, Shuchang and Wu, Qingbo and Li, Hongliang and Meng, Fanman and Xu, Linfeng and Qiu, Heqian}, title = {Confusion Mixup Regularized Multimodal Fusion Network for Continual Egocentric Activity Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3560-3569} }
OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental Learning: Jiawen Xu,

Claas Grohnfeldt,

Odej Kao; [pdf] [supp]
[bibtex]
@InProceedings{Xu_2023_ICCV, author = {Xu, Jiawen and Grohnfeldt, Claas and Kao, Odej}, title = {OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3303-3311} }
Margin Contrastive Learning with Learnable-Vector for Continual Learning: Kotaro Nagata,

Kazuhiro Hotta; [pdf]
[bibtex]
@InProceedings{Nagata_2023_ICCV, author = {Nagata, Kotaro and Hotta, Kazuhiro}, title = {Margin Contrastive Learning with Learnable-Vector for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3570-3576} }
SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning: Sathursan Kanagarajah,

Thanuja Ambegoda,

Ranga Rodrigo; [pdf]
[bibtex]
@InProceedings{Kanagarajah_2023_ICCV, author = {Kanagarajah, Sathursan and Ambegoda, Thanuja and Rodrigo, Ranga}, title = {SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3473-3480} }
Transformer-Based Sensor Fusion for Autonomous Driving: A Survey: Apoorv Singh; [pdf] [arXiv]
[bibtex]
@InProceedings{Singh_2023_ICCV, author = {Singh, Apoorv}, title = {Transformer-Based Sensor Fusion for Autonomous Driving: A Survey}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3312-3317} }
Continual Evidential Deep Learning for Out-of-Distribution Detection: Eduardo Aguilar,

Bogdan Raducanu,

Petia Radeva,

Joost Van de Weijer; [pdf] [arXiv]
[bibtex]
@InProceedings{Aguilar_2023_ICCV, author = {Aguilar, Eduardo and Raducanu, Bogdan and Radeva, Petia and Van de Weijer, Joost}, title = {Continual Evidential Deep Learning for Out-of-Distribution Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3444-3454} }
FedRCIL: Federated Knowledge Distillation for Representation based Contrastive Incremental Learning: Athanasios Psaltis,

Christos Chatzikonstantinou,

Charalampos Z. Patrikakis,

Petros Daras; [pdf]
[bibtex]
@InProceedings{Psaltis_2023_ICCV, author = {Psaltis, Athanasios and Chatzikonstantinou, Christos and Patrikakis, Charalampos Z. and Daras, Petros}, title = {FedRCIL: Federated Knowledge Distillation for Representation based Contrastive Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3463-3472} }
Instant Continual Learning of Neural Radiance Fields: Ryan Po,

Zhengyang Dong,

Alexander W. Bergman,

Gordon Wetzstein; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Po_2023_ICCV, author = {Po, Ryan and Dong, Zhengyang and Bergman, Alexander W. and Wetzstein, Gordon}, title = {Instant Continual Learning of Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3334-3344} }
A Comprehensive Empirical Evaluation on Online Continual Learning: Albin Soutif-Cormerais,

Antonio Carta,

Andrea Cossu,

Julio Hurtado,

Vincenzo Lomonaco,

Joost Van de Weijer,

Hamed Hemati; [pdf] [supp]
[bibtex]
@InProceedings{Soutif-Cormerais_2023_ICCV, author = {Soutif-Cormerais, Albin and Carta, Antonio and Cossu, Andrea and Hurtado, Julio and Lomonaco, Vincenzo and Van de Weijer, Joost and Hemati, Hamed}, title = {A Comprehensive Empirical Evaluation on Online Continual Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3518-3528} }
Clustering-Based Domain-Incremental Learning: Christiaan Lamers,

René Vidal,

Nabil Belbachir,

Niki van Stein,

Thomas Bäeck,

Paris Giampouras; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lamers_2023_ICCV, author = {Lamers, Christiaan and Vidal, Ren\'e and Belbachir, Nabil and van Stein, Niki and B\"aeck, Thomas and Giampouras, Paris}, title = {Clustering-Based Domain-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3384-3392} }
TKIL: Tangent Kernel Optimization for Class Balanced Incremental Learning: Jinlin Xiang,

Eli Shlizerman; [pdf] [supp]
[bibtex]
@InProceedings{Xiang_2023_ICCV, author = {Xiang, Jinlin and Shlizerman, Eli}, title = {TKIL: Tangent Kernel Optimization for Class Balanced Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3529-3539} }
Looking Through the Past: Better Knowledge Retention for Generative Replay in Continual Learning: Valeriya Khan,

Sebastian Cygert,

Bartlomiej Twardowski,

Tomasz Trzciński; [pdf] [arXiv]
[bibtex]
@InProceedings{Khan_2023_ICCV, author = {Khan, Valeriya and Cygert, Sebastian and Twardowski, Bartlomiej and Trzci\'nski, Tomasz}, title = {Looking Through the Past: Better Knowledge Retention for Generative Replay in Continual Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3496-3500} }
Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning: Matteo Pennisi,

Federica Proietto Salanitri,

Giovanni Bellitto,

Concetto Spampinato,

Simone Palazzo,

Bruno Casella,

Marco Aldinucci; [pdf]
[bibtex]
@InProceedings{Pennisi_2023_ICCV, author = {Pennisi, Matteo and Salanitri, Federica Proietto and Bellitto, Giovanni and Spampinato, Concetto and Palazzo, Simone and Casella, Bruno and Aldinucci, Marco}, title = {Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3376-3383} }