Open set methods based on deep networks for multimedia recognition
Towards the Robustness in Deep Learning Architectures for e-Science Applications
Multi-level Representation Fusion Methods based on Weakly Supervised Learning
| Grant number: | 21/10547-3 |
| Support Opportunities: | Scholarships in Brazil - Scientific Initiation |
| Start date: | October 01, 2021 |
| End date: | September 30, 2022 |
| Field of knowledge: | Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques |
| Agreement: | Microsoft Research |
| Principal Investigator: | João Paulo Papa |
| Grantee: | João Vitor Mariano Correia |
| Host Institution: | Faculdade de Ciências (FC). Universidade Estadual Paulista (UNESP). Campus de Bauru. Bauru , SP, Brazil |
| Company: | Universidade Estadual Paulista (UNESP). Campus de Rio Claro. Instituto de Geociências e Ciências Exatas (IGCE) |
| Associated research grant: | 17/25908-6 - Weakly supervised learning for compressed video analysis on retrieval and classification tasks for visual alert, AP.PITE |
Abstract The primary purpose of this project is to understand differences among several visual representation levels in multimedia recognition tasks and to identify possible complementary information that might be combined in a final classification stage. The main objective of this scientific initiation project is the investigation of multi-level representations in multimedia recognition tasks. Different representations will be studied and implemented for a robust effectiveness analysis concerning the task of action recognition in videos. (AU) | |
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