Dark experience for general continual learning: a strong, simple baseline P Buzzega, M Boschini, A Porrello, D Abati, S Calderara Advances in Neural Information Processing Systems 33, 15920-15930, 2020 | 661 | 2020 |
Latent space autoregression for novelty detection D Abati, A Porrello, S Calderara, R Cucchiara Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 506 | 2019 |
Rethinking Experience Replay: a Bag of Tricks for Continual Learning P Buzzega, M Boschini, A Porrello, S Calderara 25th International Conference on Pattern Recognition (ICPR2020), 2020 | 109 | 2020 |
Class-Incremental Continual Learning into the eXtended DER-verse M Boschini, L Bonicelli, P Buzzega, A Porrello, S Calderara IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 91 | 2022 |
Robust re-identification by multiple views knowledge distillation A Porrello, L Bergamini, S Calderara European Conference on Computer Vision, 93-110, 2020 | 78 | 2020 |
The color out of space: learning self-supervised representations for Earth Observation imagery S Vincenzi, A Porrello, P Buzzega, M Cipriano, P Fronte, R Cuccu, ... 25th International Conference on Pattern Recognition (ICPR2020), 2020 | 52 | 2020 |
Multi-views embedding for cattle re-identification L Bergamini, A Porrello, AC Dondona, E Del Negro, M Mattioli, N D'alterio, ... 2018 14th international conference on signal-image technology & internet …, 2018 | 43 | 2018 |
How many observations are enough? knowledge distillation for trajectory forecasting A Monti, A Porrello, S Calderara, P Coscia, L Ballan, R Cucchiara Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 39 | 2022 |
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning L Bonicelli, M Boschini, A Porrello, C Spampinato, S Calderara Advances in Neural Information Processing Systems 35, 31886--31901, 2022 | 26 | 2022 |
Continual semi-supervised learning through contrastive interpolation consistency M Boschini, P Buzzega, L Bonicelli, A Porrello, S Calderara Pattern Recognition Letters 162, 9-14, 2022 | 25 | 2022 |
Transfer without Forgetting M Boschini, L Bonicelli, A Porrello, G Bellitto, M Pennisi, S Palazzo, ... European Conference on Computer Vision, 2022 | 25 | 2022 |
And: Autoregressive novelty detectors D Abati, A Porrello, S Calderara, R Cucchiara arXiv preprint arXiv:1807.01653 2, 2018 | 23 | 2018 |
Input Perturbation Reduces Exposure Bias in Diffusion Models M Ning, E Sangineto, A Porrello, S Calderara, R Cucchiara International Conference on Machine Learning, 26245--26265, 2023 | 21 | 2023 |
Scoring pleurisy in slaughtered pigs using convolutional neural networks AR Trachtman, L Bergamini, A Palazzi, A Porrello, ... Veterinary research 51, 1-9, 2020 | 20 | 2020 |
Predicting WNV circulation in Italy using earth observation data and extreme gradient boosting model L Candeloro, C Ippoliti, F Iapaolo, F Monaco, D Morelli, R Cuccu, P Fronte, ... Remote Sensing 12 (18), 3064, 2020 | 16 | 2020 |
Classifying signals on irregular domains via convolutional cluster pooling A Porrello, D Abati, S Calderara, R Cucchiara The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 14 | 2019 |
Spotting insects from satellites: modeling the presence of Culicoides imicola through Deep CNNs S Vincenzi, A Porrello, P Buzzega, A Conte, C Ippoliti, L Candeloro, ... 2019 15th International Conference on Signal-Image Technology & Internet …, 2019 | 11 | 2019 |
DAS-MIL: Distilling Across Scales for MIL classification of histological WSIs G Bontempo, A Porrello, F Bolelli, S Calderara, E Ficarra International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 6 | 2023 |
Consistency-based Self-supervised Learning for Temporal Anomaly Localization A Panariello, A Porrello, S Calderara, R Cucchiara European Conference on Computer Vision Workshop, 2022 | 6 | 2022 |
TrackFlow: Multi-Object Tracking with Normalizing Flows G Mancusi, A Panariello, A Porrello, M Fabbri, S Calderara, R Cucchiara IEEE/CVF International Conference on Computer Vision, 2023 | 4 | 2023 |