Plumerault, M. Antoine (2018) Transfer learning for re-identification and classification on challenging datasets PFE - Project Graduation, ENSTA.
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Abstract
This document presents the work I have done during my internship at CEA fromthe 10th of April 2018 to the 9th October 2018. It describes several deep learn-ing techniques used to build a search engine for tattoos images based on visualcontent. We have explored several methods to produce a useful representation oftattoo images in which close points correspond to similar tattoos. The second partof the document is dedicated to my work on face recognition. To solve this task weused a large database of labeled images and explored different techniques to build arepresentation of face images that is useful for face recognition.
| Item Type: | Thesis (PFE - Project Graduation) |
|---|---|
| Uncontrolled Keywords: | Machine Learning, Deep Learning, Image Processing, Image Analysis,Face Recognition, Transfer learning, Metric Learning |
| Subjects: | Information and Communication Sciences and Technologies Mathematics and Applications |
| ID Code: | 7295 |
| Deposited By: | Antoine Plumerault |
| Deposited On: | 10 avr. 2019 14:34 |
| Dernière modification: | 10 avr. 2019 14:34 |
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