Object Detection Using Convolutional Neural Network Trained on Synthetic Images
Training data is the bottleneck for training Convolutional Neural Networks. A larger dataset gives better accuracy though also needs longer training time. It is shown by finetuning neural networks on synthetic rendered images, that the mean average precision increases. This method was applied to two...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Datorseende
2018
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-153224 |