Authors
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich
Publication date
2015
Conference
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Pages
1-9
Description
Abstract We propose a deep convolutional neural network architecture codenamed
Inception that achieves the new state of the art for classification and detection in the
ImageNet Large-Scale Visual Recognition Challenge 2014 (ILSVRC2014). The main
hallmark of this architecture is the improved utilization of the computing resources inside the
network. By a carefully crafted design, we increased the depth and width of the network
while keeping the computational budget constant. To optimize quality, the architectural ...
Total citations
20142015201645578824
Scholar articles
C Szegedy, W Liu, Y Jia, P Sermanet, S Reed… - Proceedings of the IEEE Conference on Computer …, 2015