Towards out-of-distribution detection for object detection networks

Many studies have recently been published on recognizing when a classification neural network is provided with data that does not fit into one of the class labels learnt during training. These so-called out-of-distribution (OOD) detection approaches have the potential to improve system safety in sit...

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Bibliographic Details
Main Author: Kanodia, Ritwik
Other Authors: Arvind Easwaran
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/157090
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Institution: Nanyang Technological University
Language: English