Resfeats: Residual network based features for image classification
© 2017 IEEE. Deep residual networks have recently emerged as the state-of-the-art architecture in image classification and object detection. In this paper, we propose new image features (called ResFeats) extracted from the last convolutional layer of the deep residual networks pre-trained on ImageNe...
| Main Authors: | Mahmood, A., Bennamoun, M., An, Senjian, Sohel, F. |
|---|---|
| Format: | Conference Paper |
| Published: |
2018
|
| Online Access: | http://hdl.handle.net/20.500.11937/70045 |
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