Sfoglia per Correlatore CICCONE, MARCO
Mostrati risultati da 1 a 7 di 7
Deep descriptors for Object recognition
2016/2017 CERRI, STEFANO
Deep models for unsupervised and weakly-supervised optical flow estimation
2017/2018 FARÈ, MATTEO
Deep neural models for event-based vision
2016/2017 CANNICI, MARCO
Multi-agent deep reinforcement learning algorithms for team coordination in sequential games
2018/2019 BONGO, RAFFAELE
A reinforcement learning approach to adversarial team games
2019/2020 CACCIAMANI, FEDERICO
Semi-supervised video object segmentation with convolutional recurrent neural networks
2016/2017 LATTARI, FRANCESCO
Structured Meta-Learning for Cross-Domain Few-Shot Classification. A study on structured representations and their effectiveness when dealing with tasks from heterogeneous domains
2020/2021 De ANGELI, NICOLA
| Fulltext | Data | Tipo | Titolo | Autore (i) |
|---|---|---|---|---|
| 2017-12-21 | Tesi di laurea Magistrale | Deep descriptors for Object recognition | CERRI, STEFANO | |
| 2018-10-03 | Tesi di laurea Magistrale | Deep models for unsupervised and weakly-supervised optical flow estimation | FARÈ, MATTEO | |
| 2018-04-19 | Tesi di laurea Magistrale | Deep neural models for event-based vision | CANNICI, MARCO | |
| 2019-12-18 | Tesi di laurea Magistrale | Multi-agent deep reinforcement learning algorithms for team coordination in sequential games | BONGO, RAFFAELE | |
| 2020-10-02 | Tesi di laurea Magistrale | A reinforcement learning approach to adversarial team games | CACCIAMANI, FEDERICO | |
| 2017-12-21 | Tesi di laurea Magistrale | Semi-supervised video object segmentation with convolutional recurrent neural networks | LATTARI, FRANCESCO | |
| 2021-04-28 | Tesi di laurea Magistrale | Structured Meta-Learning for Cross-Domain Few-Shot Classification. A study on structured representations and their effectiveness when dealing with tasks from heterogeneous domains | De ANGELI, NICOLA |
Mostrati risultati da 1 a 7 di 7
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