Return of the devil in the details: delving deep into convolutional nets
The latest generation of Convolutional Neural Networks (CNN) have achieved impressive results in challenging benchmarks on image recognition and object detection, significantly raising the interest of the community in these methods. Nevertheless, it is still unclear how different CNN methods compare...
Main Authors: | Chatfield, K, Simonyan, K, Vedaldi, A, Zisserman, A |
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Format: | Conference item |
Sprog: | English |
Udgivet: |
British Machine Vision Association and Society for Pattern Recognition
2014
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Lignende værker
Reading text in the wild with convolutional neural networks
af: Jaderberg, M, et al.
Udgivet: (2014)
af: Jaderberg, M, et al.
Udgivet: (2014)
Lignende værker
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Return of the devil in the details: delving deep into convolutional nets
af: Chatfield, K, et al.
Udgivet: (2014) -
The devil is in the details: an evaluation of recent feature encoding methods
af: Chatfield, K, et al.
Udgivet: (2011) -
Deep inside convolutional networks: visualising image classification models and saliency maps
af: Simonyan, K, et al.
Udgivet: (2014) -
Efficient on-the-fly category retrieval using ConvNets and GPUs
af: Chatfield, K, et al.
Udgivet: (2015) -
Reading text in the wild with convolutional neural networks
af: Jaderberg, M, et al.
Udgivet: (2014)