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Avalanche: an End-to-End Library for Continual Learning


Apr 01, 2021
Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido van de Ven, Martin Mundt, Qi She, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German I. Parisi, Fabio Cuzzolin, Andreas Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni

* Official Website: https://avalanche.continualai.org 

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On Implicit Attribute Localization for Generalized Zero-Shot Learning


Mar 08, 2021
Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer

* To appear in IEEE Signal Processing Letters. Overlapped with arXiv:2006.05938 

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Generative Multi-Label Zero-Shot Learning


Jan 28, 2021
Akshita Gupta, Sanath Narayan, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Joost van de Weijer

* 10 pages, source code is available at https://github.com/akshitac8/Generative_MLZSL 

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Self-Training for Class-Incremental Semantic Segmentation


Dec 06, 2020
Lu Yu, Xialei Liu, Joost van de Weijer

* Code will be available 

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DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs


Nov 11, 2020
Yaxing Wang, Lu Yu, Joost van de Weijer

* NeurIPS2020 

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Class-incremental learning: survey and performance evaluation


Oct 28, 2020
Marc Masana, Xialei Liu, Bartlomiej Twardowski, Mikel Menta, Andrew D. Bagdanov, Joost van de Weijer


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Unsupervised Domain Adaptation without Source Data by Casting a BAIT


Oct 28, 2020
Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui


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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

* 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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RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning


Jul 13, 2020
Riccardo Del Chiaro, Bart艂omiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer

* 8 pages, 5 figures, to be published in LifelongML workshop at ICML2020 

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On Class Orderings for Incremental Learning


Jul 07, 2020
Marc Masana, Bart艂omiej Twardowski, Joost van de Weijer

* Accepted at CL-ICML 2020. First two authors contributed equally 

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Bookworm continual learning: beyond zero-shot learning and continual learning


Jul 06, 2020
Kai Wang, Luis Herranz, Anjan Dutta, Joost van de Weijer


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Simple and effective localized attribute representations for zero-shot learning


Jun 17, 2020
Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer

* Submitted to Pattern Recognition 

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Distributed Learning and Inference with Compressed Images


Apr 22, 2020
Sudeep Katakol, Basem Elbarashy, Luis Herranz, Joost van de Weijer, Antonio M. Lopez

* 13 pages, 14 figures 

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Generative Feature Replay For Class-Incremental Learning


Apr 20, 2020
Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer

* Accepted at CVPR2020: Workshop on Continual Learning in Computer Vision 

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Semi-supervised Learning for Few-shot Image-to-Image Translation


Apr 02, 2020
Yaxing Wang, Salman Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan

* CVPR2020 

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Semantic Drift Compensation for Class-Incremental Learning


Apr 01, 2020
Lu Yu, Bart艂omiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer

* Accepted at CVPR2020, Code available at \url{https://github.com/yulu0724/SDC-IL

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Ternary Feature Masks: continual learning without any forgetting


Jan 23, 2020
Marc Masana, Tinne Tuytelaars, Joost van de Weijer


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Learning to adapt class-specific features across domains for semantic segmentation


Jan 22, 2020
Mikel Menta, Adriana Romero, Joost van de Weijer

* Master thesis dissertation for the Master in Computer Vision (Barcelona). 11 pages main article and 3 pages appendices. Code available 

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Variable Rate Deep Image Compression with Modulated Autoencoder


Dec 11, 2019
Fei Yang, Luis Herranz, Joost van de Weijer, Jos茅 A. Iglesias Guiti谩n, Antonio L贸pez, Mikhail Mozerov


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MineGAN: effective knowledge transfer from GANs to target domains with few images


Dec 11, 2019
Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer


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Orderless Recurrent Models for Multi-label Classification


Nov 25, 2019
Vacit Oguz Yazici, Abel Gonzalez-Garcia, Arnau Ramisa, Bartlomiej Twardowski, Joost van de Weijer


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Active Learning for Deep Detection Neural Networks


Nov 20, 2019
Hamed H. Aghdam, Abel Gonzalez-Garcia, Joost van de Weijer, Antonio M. L贸pez

* Accepted at ICCV 2019 

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Learning the Model Update for Siamese Trackers


Sep 06, 2019
Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan

* Accepted at ICCV 2019 

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Temporal Coherence for Active Learning in Videos


Aug 30, 2019
Javad Zolfaghari Bengar, Abel Gonzalez-Garcia, Gabriel Villalonga, Bogdan Raducanu, Hamed H. Aghdam, Mikhail Mozerov, Antonio M. Lopez, Joost van de Weijer

* Accepted at ICCVW 2019 (CVRSUAD-Road Scene Understanding and Autonomous Driving) 

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Multi-Modal Fusion for End-to-End RGB-T Tracking


Aug 30, 2019
Lichao Zhang, Martin Danelljan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan

* Accepted at ICCVW (VOT) 2019 

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