Image quality assessment for visual object segmentation

An image segmentation model is deemed successful if reflects how a human would segment an image into foreground and background (i.e. be as close to the ground truth (GT) as possible). To train a successful model, the evaluation of binary foreground maps (FM) plays an important role. Recent evaluatio...

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Bibliographic Details
Main Author: Ng, Darryl Jingheng
Other Authors: Lin Weisi
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175092
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Institution: Nanyang Technological University
Language: English
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