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


Mar 28, 2022
Francesco Pelosin, Saurav Jha, Andrea Torsello, Bogdan Raducanu, Joost van de Weijer

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Hyper-GAN: Transferring Unconditional to Conditional GANs with HyperNetworks


Dec 04, 2021
Héctor Laria, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu

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* 14 pages, 12 figures 

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Class-Balanced Active Learning for Image Classification


Oct 09, 2021
Javad Zolfaghari Bengar, Joost van de Weijer, Laura Lopez Fuentes, Bogdan Raducanu

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* Accepted at WACV2022 conference 

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Reducing Label Effort: Self-Supervised meets Active Learning


Aug 25, 2021
Javad Zolfaghari Bengar, Joost van de Weijer, Bartlomiej Twardowski, Bogdan Raducanu

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* Accepted at ICCVW 2021 (Interactive Labeling and Data Augmentation for Vision) 

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When Deep Learners Change Their Mind: Learning Dynamics for Active Learning


Jul 30, 2021
Javad Zolfaghari Bengar, Bogdan Raducanu, Joost van de Weijer

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* Accepted in International Conference on Computer Analysis of Images and Patterns (CAIP) 2021 

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Saliency for free: Saliency prediction as a side-effect of object recognition


Jul 20, 2021
Carola Figueroa-Flores, David Berga, Joost van der Weijer, Bogdan Raducanu

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* 2021 
* Paper published to Pattern Recognition Letter 

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TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets


May 14, 2021
Yaxing Wang, Hector Laria Mantecon, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu

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* Technical report 

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Learning to Rank for Active Learning: A Listwise Approach


Jul 31, 2020
Minghan Li, Xialei Liu, Joost van de Weijer, Bogdan Raducanu

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* Accepted at ICPR 2020 

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Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains


Jul 24, 2020
Carola Figueroa-Flores, Bogdan Raducanu, David Berga, Joost van de Weijer

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