Unsupervised object segmentation with slot attention: validation and challenges on real-world data
Traditional deep learning methods often have difficulty preserving object-level semantics because they usually encode the entire scene into a single holistic representation. Object-centric learning (OCL) addresses this limitation by decomposing the scene into individual object representations, makin...
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| 格式: | Thesis-Master by Coursework |
| 語言: | English |
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Nanyang Technological University
2025
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| 在線閱讀: | https://hdl.handle.net/10356/184371 |
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| 機構: | Nanyang Technological University |
| 語言: | English |