Best Paper Awards

Best Paper

Continually Learning Self-Supervised Representations with Projected Functional Regularization

Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer

Runner-Up

Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization

Francesco Pelosin, Saurav Jha, Andrea Torsello, Bogdan Raducanu, Joost van de Weijer

supplementary

Runner-Up

Spacing Loss for Discovering Novel Categories

K J Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N Balasubramanian

Orals

Continually Learning Self-Supervised Representations with Projected Functional Regularization

Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer

Foundation Models for Continual Learning: An Empirical Study of Latent Replay

Oleksiy Ostapenko, Timothee Lesort, Pau Rodrìguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin

Incremental Learning in Semantic Segmentation from Image Labels

Fabio Cermelli, Dario Fontanel, Antonio Tavera, Marco Ciccone, Barbara Caputo

Posters

Learning to Prompt for Continual Learning

Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer Dy, Tomas Pfister

Lifelong Wandering: A realistic few-shot online continual learning setting

Mayank Lunayach, James Seale Smith, Zsolt Kira

Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization

Francesco Pelosin, Saurav Jha, Andrea Torsello, Bogdan Raducanu, Joost van de Weijer

supplementary

Variable Few Shot Class Incremental and Open World Learning

Touqeer Ahmad, Akshay Raj Dhamija, Mohsen Jafarzadeh, Steve Cruz, Ryan Rabinowitz, Chunchun Li, Terrance E. Boult

supplementary

CSG0: Continual Urban Scene Generation with Zero Forgetting.

Himalaya Jain, Tuan-Hung Vu, Patrick Perez, Matthieu Cord

Modeling Missing Annotations for Incremental Learning in Object Detection

Fabio Cermelli, Antonino Geraci, Dario Fontanel, Barbara Caputo

Task-Balanced Batch Normalization for Exemplar-based Class-Incremental Learning

Sungmin Cha, Soonwon Hong, Moontae Lee, and Taesup Moon

supplementary

Continual Hippocampus Segmentation with Transformers

Amin Ranem, Camila Gonzalez, Anirban Mukhopadhyay

supplementary

Entropy-based Stability-Plasticity for Lifelong Learning

Vladimir Araujo, Julio Hurtado, Alvaro Soto, Marie-Francine Moens

Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition

Kai Wang, Xialei Liu, Andy Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer

Unsupervised Continual Learning for Gradually Varying Domains

Abu Md Niamul Taufique, Chowdhury Sadman Jahan, Andreas Savakis

vCLIMB: A Novel Video Class Incremental Learning Benchmark

Andrés Villa, Kumail Alhamoud, Victor Escorcia, Fabian Caba Heilbron, Juan León Alcázar, Bernard Ghanem

supplementary

Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation

Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Perez, Matthieu Cord

Visual Goal-Directed Meta-Imitation Learning

Corban G. Rivera, David A. Handelman, Christopher R. Ratto, David Patrone, Bart L. Paulhamus

supplementary

Spacing Loss for Discovering Novel Categories

K J Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N Balasubramanian

Continual Learning with Transformers for Image Classification

Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cedric Archambeau

Attenuating Catastrophic Forgetting by Joint Contrastive and Incremental Learning

Quentin Ferdinand, Benoit Clement, Quentin Oliveau, Gilles Le Chenadec, Panagiotis Papadakis

Ex-Model: Continual Learning from a Stream of Trained Models

Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu

Medusa: Universal Feature Learning via Attentional Multitasking

Jaime Spencer, Richard Bowden, Simon Hadfield

Alleviating Representational Shift for Continual Fine-tuning

Shibo Jie, Zhi-Hong Deng, Ziheng Li

supplementary

Online Unsupervised Domain Adaptation for Person Re-identification

Hamza Rami, Matthieu Ospici, Stephane Lathuilière

Transferring Unconditional to Conditional GANs with Hyper-Modulation

Hector Laria, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu

supplementary

Out-Of-Distribution Detection In Unsupervised Continual Learning

Jiangpeng He, Fengqing Zhu

supplementary

Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer

Arjun Ashok, K J Joseph, Vineeth N Balasubramanian

supplementary

Continual Learning Based on OOD Detection and Task Masking

Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu

supplementary

Class-Incremental Learning with Repetition

Hamed Hemati, Andrea Cossu, Julio Hurtado, Gabriele Graffieti, Lorenzo Pellegrini, Antonio Carta, Vincenzo Lomonaco, Damian Borth

CNLL: A Semi-supervised Approach For Continual Noisy Label Learning

Nazmul Karim, Umar Khalid, Ashkan Esmaeili, and Nazanin Rahnavard

Multi-Task Learning for Video Surveillance with Limited Data

Keval Doshi and Yasin Yilmaz