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Debora Gil, & Guillermo Torres. (2020). A multi-shape loss function with adaptive class balancing for the segmentation of lung structures. In 34th International Congress and Exhibition on Computer Assisted Radiology & Surgery.
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Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, et al. (2021). Avalanche: an End-to-End Library for Continual Learning. In 34th IEEE Conference on Computer Vision and Pattern Recognition Workshops (pp. 3595–3605).
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Marc Masana, Tinne Tuytelaars, & Joost Van de Weijer. (2021). Ternary Feature Masks: zero-forgetting for task-incremental learning. In 34th IEEE Conference on Computer Vision and Pattern Recognition Workshops (pp. 3565–3574).
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Fei Yang, Luis Herranz, Yongmei Cheng, & Mikhail Mozerov. (2021). Slimmable compressive autoencoders for practical neural image compression. In 34th IEEE Conference on Computer Vision and Pattern Recognition (pp. 4996–5005).
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Riccardo Del Chiaro, Bartlomiej Twardowski, Andrew Bagdanov, & Joost Van de Weijer. (2020). Recurrent attention to transient tasks for continual image captioning. In 34th Conference on Neural Information Processing Systems.
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Yaxing Wang, Lu Yu, & Joost Van de Weijer. (2020). DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs. In 34th Conference on Neural Information Processing Systems.
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Minesh Mathew, Ruben Tito, Dimosthenis Karatzas, R.Manmatha, & C.V. Jawahar. (2020). Document Visual Question Answering Challenge 2020. In 33rd IEEE Conference on Computer Vision and Pattern Recognition – Short paper.
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Lorenzo Porzi, Markus Hofinger, Idoia Ruiz, Joan Serrat, Samuel Rota Bulo, & Peter Kontschieder. (2020). Learning Multi-Object Tracking and Segmentation from Automatic Annotations. In 33rd IEEE Conference on Computer Vision and Pattern Recognition (pp. 6845–6854).
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Vacit Oguz Yazici, Abel Gonzalez-Garcia, Arnau Ramisa, Bartlomiej Twardowski, & Joost Van de Weijer. (2020). Orderless Recurrent Models for Multi-label Classification. In 33rd IEEE Conference on Computer Vision and Pattern Recognition.
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Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, & Joost Van de Weijer. (2020). MineGAN: effective knowledge transfer from GANs to target domains with few images. In 33rd IEEE Conference on Computer Vision and Pattern Recognition.
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Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmai Cheng, et al. (2020). Semantic Drift Compensation for Class-Incremental Learning of Embeddings. In 33rd IEEE Conference on Computer Vision and Pattern Recognition.
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Ciprian Corneanu, Sergio Escalera, & Aleix M. Martinez. (2020). Computing the Testing Error Without a Testing Set. In 33rd IEEE Conference on Computer Vision and Pattern Recognition.
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Swathikiran Sudhakaran, Sergio Escalera, & Oswald Lanz. (2020). Gate-Shift Networks for Video Action Recognition. In 33rd IEEE Conference on Computer Vision and Pattern Recognition.
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Yaxing Wang, Salman Khan, Abel Gonzalez-Garcia, Joost Van de Weijer, & Fahad Shahbaz Khan. (2020). Semi-supervised Learning for Few-shot Image-to-Image Translation. In 33rd IEEE Conference on Computer Vision and Pattern Recognition.
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Marçal Rusiñol, David Aldavert, Dimosthenis Karatzas, Ricardo Toledo, & Josep Llados. (2011). Interactive Trademark Image Retrieval by Fusing Semantic and Visual Content. Advances in Information Retrieval. In P. Clough, C. Foley, C. Gurrin, G.J.F. Jones, W. Kraaij, H. Lee, et al. (Eds.), 33rd European Conference on Information Retrieval (Vol. 6611, pp. 314–325). LNCS. Berlin: Springer.
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