| List |
| Topic: | Multiview Object Open-Set Classification |
|---|---|
| Department: | Katedra kybernetiky |
| Supervisor: | doc. Ing. Tomáš Pajdla, Ph.D. |
| Announce as: | Diplomová práce, Semestrální projekt |
| Description: | 1) Review the literature [1,2,3] and select the most promising method for multiview object open-set classification.
2) Find a dataset to evaluate the most promising method. 3) Summarize the experiment and explain the behavior of the best method on the multi-view data. |
| Bibliography: | [1] Silvio Galesso, Max Argus, Thomas Brox. Far Away in the Deep Space: Nearest-Neighbor-Based Dense Out-of-Distribution Detection. arXiv:2211.06660
[2] Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman. Open-Set Recognition: a Good Closed-Set Classifier is All You Need? arXiv:2110.06207 [3] Marco Seeland, Patrick Mäder. Multi-view classification with convolutional neural networks. PLOS ONE 16(1): https://doi.org/10.1371/journal.pone.0245230 |