KNOWLEDGE DISTILLATION AND SIAMESE NETWORK ADOPTION FOR SEMANTIC SEGMENTATION USING SEMI- SUPERVISED LEARNING

KNOWLEDGE DISTILLATION AND SIAMESE NETWORK ADOPTION FOR SEMANTIC SEGMENTATION USING SEMI- SUPERVISED LEARNING

The demand for large amounts of labeled data and large computations is a common problem in semantic segmentation. Semi-supervised answers the problem by utilizing data without labels in the training process, but choosing the right method in the unsupervised learning process is a challenge in itself....

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書目詳細資料
主要作者:	Abdurrohman, Harits
格式:	Theses
語言:	Indonesia
在線閱讀:	https://digilib.itb.ac.id/gdl/view/69104
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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