Occlusions for effective data augmentation in image classification
Deep networks for visual recognition are known to leverage ""easy to recognise"" portions of objects such as faces and distinctive texture patterns. The lack of a holistic understanding of objects may increase fragility and overfitting. In recent years, several papers have propos...
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| 格式: | Conference item |
| 語言: | English |
| 出版: |
IEEE
2020
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