Sfoglia per Autore
Latent Replay for Real-Time Continual Learning
2019 Lorenzo Pellegrini; Gabriele Graffieti; Vincenzo Lomonaco; Davide Maltoni
Latent replay for real-time continual learning
2020 Pellegrini L.; Graffieti G.; Lomonaco V.; Maltoni D.
IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge
2020 Bae H.; Brophy E.; Chan R.H.M.; Chen B.; Feng F.; Graffieti G.; Goel V.; Hao X.; Han H.; Kanagarajah S.; Kumar S.; Lam S.-K.; Lam T.L.; Lan C.; Liu Q.; Lomonaco V.; Ma L.; Maltoni D.; Parisi G.I.; Pellegrini L.; Piyasena D.; Pu S.; She Q.; Sheet D.; Song S.; Son Y.; Wang Z.; Ward T.E.; Wu J.; Wu M.; Xie D.; Xu Y.; Yang L.; Yang Q.; Zhong Q.; Zhou L.
Automated Artifact Retouching in Morphed Images with Attention Maps
2021 Borghi G.; Franco A.; Graffieti G.; Maltoni D.
Artifact-free single image defogging
2021 Graffieti G.; Maltoni D.
Continual Learning at the Edge: Real-Time Training on Smartphone Devices
2021 Lorenzo Pellegrini, Vincenzo Lomonaco, Gabriele Graffieti, Davide Maltoni
Towards Artifacts-free Image Defogging
2021 Gabriele Graffieti; Davide Maltoni
Avalanche: an End-to-End Library for Continual Learning
2021 Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German I. Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni
Incremental Training of Face Morphing Detectors
2022 Borghi, Guido; Graffieti, Gabriele; Franco, Annalisa; Maltoni, Davide
Continual Learning in Real-Life Applications
2022 Graffieti, G; Borghi, G; Maltoni, D
Is Class-Incremental Enough for Continual Learning?
2022 Cossu Andrea, Graffieti Gabriele, Pellegrini Lorenzo, Maltoni Davide, Bacciu Davide, Carta Antonio, Lomonaco Vincenzo
Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for Continual learning
2023 Vincenzo Lomonaco, Lorenzo Pellegrini, Gabriele Graffieti, Davide Maltoni
Generative negative replay for continual learning
2023 Graffieti, Gabriele; Maltoni, Davide; Pellegrini, Lorenzo; Lomonaco, Vincenzo
Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
---|---|---|---|---|---|---|
Latent Replay for Real-Time Continual Learning | Lorenzo Pellegrini; Gabriele Graffieti; Vincenzo Lomonaco; Davide Maltoni | 2019-01-01 | - | - | 7.13 Rapporto tecnico | - |
Latent replay for real-time continual learning | Pellegrini L.; Graffieti G.; Lomonaco V.; Maltoni D. | 2020-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge | Bae H.; Brophy E.; Chan R.H.M.; Chen B.; Feng F.; Graffieti G.; Goel V.; Hao X.; Han H.; Kanagara...jah S.; Kumar S.; Lam S.-K.; Lam T.L.; Lan C.; Liu Q.; Lomonaco V.; Ma L.; Maltoni D.; Parisi G.I.; Pellegrini L.; Piyasena D.; Pu S.; She Q.; Sheet D.; Song S.; Son Y.; Wang Z.; Ward T.E.; Wu J.; Wu M.; Xie D.; Xu Y.; Yang L.; Yang Q.; Zhong Q.; Zhou L. | 2020-01-01 | IEEE ROBOTICS AND AUTOMATION MAGAZINE | - | 1.01 Articolo in rivista | - |
Automated Artifact Retouching in Morphed Images with Attention Maps | Borghi G.; Franco A.; Graffieti G.; Maltoni D. | 2021-01-01 | IEEE ACCESS | - | 1.01 Articolo in rivista | Automated_Artifact_Retouching_in_Morphed_Images_With_Attention_Maps.pdf |
Artifact-free single image defogging | Graffieti G.; Maltoni D. | 2021-01-01 | ATMOSPHERE | - | 1.01 Articolo in rivista | atmosphere-12-00577.pdf |
Continual Learning at the Edge: Real-Time Training on Smartphone Devices | Lorenzo Pellegrini, Vincenzo Lomonaco, Gabriele Graffieti, Davide Maltoni | 2021-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
Towards Artifacts-free Image Defogging | Gabriele Graffieti; Davide Maltoni | 2021-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | Towards_Artifacts-Free_Image_Defogging.pdf |
Avalanche: an End-to-End Library for Continual Learning | Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. ...Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German I. Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni | 2021-01-01 | - | - | 4.01 Contributo in Atti di convegno | Lomonaco_Avalanche_An_End-to-End_Library_for_Continual_Learning_CVPRW_2021_paper.pdf |
Incremental Training of Face Morphing Detectors | Borghi, Guido; Graffieti, Gabriele; Franco, Annalisa; Maltoni, Davide | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
Continual Learning in Real-Life Applications | Graffieti, G; Borghi, G; Maltoni, D | 2022-01-01 | IEEE ROBOTICS AND AUTOMATION LETTERS | - | 1.01 Articolo in rivista | - |
Is Class-Incremental Enough for Continual Learning? | Cossu Andrea, Graffieti Gabriele, Pellegrini Lorenzo, Maltoni Davide, Bacciu Davide, Carta Antoni...o, Lomonaco Vincenzo | 2022-01-01 | FRONTIERS IN ARTIFICIAL INTELLIGENCE | - | 1.01 Articolo in rivista | frai-05-829842.pdf |
Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for Continual learning | Vincenzo Lomonaco, Lorenzo Pellegrini, Gabriele Graffieti, Davide Maltoni | 2023-01-01 | - | World Scientific Publishing | 2.01 Capitolo / saggio in libro | - |
Generative negative replay for continual learning | Graffieti, Gabriele; Maltoni, Davide; Pellegrini, Lorenzo; Lomonaco, Vincenzo | 2023-01-01 | NEURAL NETWORKS | - | 1.01 Articolo in rivista | Generative_Negative_Replay__UniBo_IRIS_version.pdf |
Legenda icone
- file ad accesso aperto
- file disponibili sulla rete interna
- file disponibili agli utenti autorizzati
- file disponibili solo agli amministratori
- file sotto embargo
- nessun file disponibile