Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/158405
Title: Objective detection and scene understanding based on deep learning
Authors: Li, Zeyin
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Li, Z. (2022). Objective detection and scene understanding based on deep learning. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158405
Project: W3348-212
Abstract: Machine vision plays a more and more important role in the industrial and medical market. In order to promote the progress of human society, it is necessary to deeply study artificial intelligence and deep network. In some important applications, such as automatic driving and medical detection, it will be applied to target detection and semantic segmentation based on deep learning. In order to better understand a scene, one is to identify the goals we care about in the scene, and the other is to identify the categories of each part of the scene class. This involves the semantic segmentation and target detection. This project makes an in-depth study on scene understanding in three dimensions: theoretical analysis, code construction and performance comparison.
URI: https://hdl.handle.net/10356/158405
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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