Dense Adversarial Transfer Learning Based On Class-invariant
碩士 === 國立中央大學 === 資訊工程學系 === 107 === In recent years, deep neural networks (DNN) have demonstrated their powerful learning ability in image recognition. Such success result requires a large-scale data set as training data. However, acquiring data label in real-life needs high cost. This dilemma cond...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/f2cupk |