He, Kaiming, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. "Deep residual learning for image recognition." In"Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 770-778. 2016.
Image Classification with Convolutional Neural Networks (ResNet)
1. Motivation
4
He, Kaiming, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. "Deep residual learning for image recognition." In"Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 770-778. 2016.
Image Classification with Convolutional Neural Networks (ResNet)
Convolutional Neural Networks:
Advantages: powerful to capture correlations and abstract conceptions out of image pixels. !
Disadvantage: difficult to capture pairwise relation, global context and attribute feature.
1. Motivation
5
He, Kaiming, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. "Deep residual learning for image recognition." In"Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 770-778. 2016.
Image Classification with Convolutional Neural Networks (ResNet)
Convolutional Neural Networks:
Advantages: powerful to capture correlations and abstract conceptions out of image pixels. !
Disadvantage: difficult to capture pairwise relation, global context and attribute feature.