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 |
---|---|
Formato: | Conference item |
Idioma: | English |
Publicado em: |
British Machine Vision Association and Society for Pattern Recognition
2014
|
Registos relacionados
-
Return of the devil in the details: delving deep into convolutional nets
Por: Chatfield, K, et al.
Publicado em: (2014) -
The devil is in the details: an evaluation of recent feature encoding methods
Por: Chatfield, K, et al.
Publicado em: (2011) -
Deep inside convolutional networks: visualising image classification models and saliency maps
Por: Simonyan, K, et al.
Publicado em: (2014) -
Efficient on-the-fly category retrieval using ConvNets and GPUs
Por: Chatfield, K, et al.
Publicado em: (2015) -
Reading text in the wild with convolutional neural networks
Por: Jaderberg, M, et al.
Publicado em: (2014)