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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Format: | Final Year Project |
Language: | English |
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Nanyang Technological University
2024
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Online Access: | https://hdl.handle.net/10356/175092 |
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Institution: | Nanyang Technological University |
Language: | English |
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