Object Detection and Classification Using RetinaNet with Clustered Anchors and Multi-Subnets
碩士 === 國立成功大學 === 資訊工程學系 === 107 === Object detection and classification has been a popular issue in Computer Vision area for a long time. There are many deep learning based methods proposed in recent years. Among all the methods, RetinaNet has the best trade-off between detection precision and spee...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/m56sgv |