Archival Track

Oral Presentations

#244 MultIOD: Rehearsal-free Multihead Incremental Object Detector [Supplementary Material] (Runner-up Paper Award)
Eden Belouadah, Arnaud Dapogny, Kevin Bailly

#245 Continual Learning with Weight Interpolation [Supplementary Material] [Code] [Poster]
Jedrzej Kozal, Jan Wasilewski, Bartosz Krawczyk, Michal Wozniak

Poster Presentations

#246 DELTA: Decoupling Long-Tailed Online Continual Learning [Poster]
Siddeshwar Raghavan, Jiangpeng He, Fengqing Maggie Zhu

#247 Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning [Code]
Nikola Bugarin, Jovana Bugaric, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto

#248 Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers [Code]
Dipam Goswami, Bartlomiej Twardowski, Joost van de Weijer

#249 Active Data Collection and Management for Real-World Continual Learning via Pretrained Oracle [Supplementary Material] [Code]  [Video]
Vivek Chavan, Paul Koch, Marian Schlüter, Clemens Briese, Jörg Krüger

#250 Class-Incremental Mixture of Gaussians for Deep Continual Learning [Supplementary Material]
Lukasz Korycki, Bartosz Krawczyk

#251 Wake-Sleep Energy Based Models for Continual Learning [Supplementary Material]
Vaibhav Singh, Anna Choromanska, Shuang Li, Yilun Du

#252 Continual-Zoo: Leveraging Zoo Models for Continual Classification of Medical Images [Supplementary Material] [Code]
Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi

#253 TAME: Task Agnostic Continual Learning using Multiple Experts [Supplementary Material]
Haoran Zhu, Anna Choromanska, Arihant Jain, Maryam Majzoubi

#254 Tackling Domain Shifts in Person Re-Identification: A Survey and Analysis [Code]
Vuong D Nguyen, Samiha Mirza, Abdollah Zakeri, Ayush Gupta, Rahma Aloui, Khadija Khaldi, Pranav Mantini, Shishir Shah, Fatima Merchant

#255 Calibration of Continual Learning Models [Code]
Lanpei Li, Elia Piccoli, Andrea Cossu, Davide Bacciu, Vincenzo Lomonaco

#256 VLM-PL: Advanced Pseudo Labeling approach for Class Incremental Object Detection via Vision-Language Model
Junsu Kim, Yunhoe Ku, Jihyeon Kim, Junuk Cha, Seungryul Baek

#257 The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous Tasks [Poster]
Sandesh Kamath, Albin Soutif--Cormerais, Joost van de Weijer, Bogdan Raducanu

#258 An analysis of best-practice strategies for replay and rehearsal in continual learning [Supplementary Material] [Code] [Poster]
Alexander Krawczyk, Alexander Gepperth

Non-archival Track

Poster Presentations

#260 Hyperparameters in Continual Learning: a Reality Check
Sungmin Cha, Kyunghyun Cho

#261 CLAM: Continual Learning with Multimodal Concepts
Susmit Agrawal, Deepika Vemuri, Sri Siddarth Chakaravarthy P, Vineeth Balasubramanian

#262 Data Stream Sampling with Fuzzy Task Boundaries and Noisy Labels
Yu-Hsi Chen

#263 STELLA: Continual Audio-Video Pre-training with Spatio-Temporal Localized Alignment
Jaewoo Lee, Jaehong Yoon, Wonjae Kim, Yunji Kim, Sung Ju Hwang

#264 Merge and Bound: Direct Manipulations on Weights for Class Incremental Learning
Taehoon Kim, Dong-Hwan Jang, Bohyung Han

#265 Cross-Class Feature Augmentation for Class Incremental Learning
Taehoon Kim, JaeYoo Park, Bohyung Han

#266 Towards Realistic Evaluation of Industrial Continual Learning Scenarios with an Emphasis on Energy Consumption and Computational Footprint [Supplementary Material] [Code] [Video]
Vivek Chavan, Paul Koch, Marian Schlüter, Clemens Briese, Jan D Lehr, Jörg Krüger

#267 Integrating Present and Past in Unsupervised Continual Learning [Code]
Yipeng Zhang, Laurent Charlin, Richard Zemel, Mengye Ren

#268 Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements [Supplementary Material] [Code]
Niccolò Biondi, Federico Pernici, Simone Ricci, Alberto Del Bimbo

#269 Step Out and Seek Around: On Warm-Start Training with Incremental Data
Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jose M. Alvarez

#270 Categories to Classifiers: Name-Only Continual Learning by Exploring the Web [Code]
Ameya Pandurang Prabhu, Hasan Abed Al Kader Hammoud, Ser-Nam Lim, Bernard Ghanem, Philip Torr, Adel Bibi

#271 CLOVA: A Closed-Loop Visual Assistant with Tool Usage and Update [Supplementary Material] [Code]
Zhi Gao, Yuntao Du, Xintong Zhang, Xiaojian Ma, Wenjuan Han, Song-Chun Zhu, Qing Li

#272 Accelerated Inference and Reduced Forgetting: The Dual Benefits of Early-Exit Networks in Continual Learning
Filip Szatkowski, Fei Yang, Bartlomiej Twardowski, Tomasz Trzcinski, Joost van de Weijer

#273 On the devastating effects of single-task data poisoning in continual learning
Stanisław Pawlak, Bartlomiej Twardowski, Tomasz Trzcinski, Joost van de Weijer

#274 Utilizing Inherent Bias for Memory Efficient Continual Learning: A Simple and Robust Baseline [Supplementary Material]
Neela Rahimi, Ming Shao

#275 Backward-Compatible Aligned Representations via Orthogonal Transformation Layer
Simone Ricci, Niccolò Biondi, Federico Pernici, Alberto Del Bimbo

#276 Watch Your Step: Optimal Retrieval for Continual Learning at Scale
Truman Hickok, Dhireesha Kudithipudi

#277 OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning [Supplementary Material] [Code]
Noor Ahmed, Anna Kukleva, Bernt Schiele