VAE hyperparameter optimization in optical flow based OOD detection
Autonomous Vehicles (AVs) have developed greatly in terms of technology over the years. While AVs do not commit human errors, they are still able to misidentify images out of algorithmic errors or worse, due to malicious attacks. This is since AVs employ multiple machine learning models that are not...
Saved in:
Main Author: | Goh, Ting Qi |
---|---|
Other Authors: | Arvind Easwaran |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/162812 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Exploring sequential VAE to handle time-series data
by: Tan, Colin G-Hao
Published: (2023) -
OOD detection for 1D LiDAR scans
by: Mishra, Pradyumn
Published: (2024) -
Efficient out-of-distribution detection using latent space of β-VAE for cyber-physical systems
by: Ramakrishna, Shreyas, et al.
Published: (2022) -
Multi-level OOD detection in image segmentation networks for safety in automotive applications
by: Poh, Eugene Yang Quan
Published: (2024) -
Automatic hyperparameter optimization for machine learning
by: Tan, Xavier Jun Sheng
Published: (2020)