Recognition and Quantity Estimation of Pastry Images Using Pre-training Deep Convolutional Networks

It has recently been demonstrated that food recognition systems opened to an exciting challenge for computer vision and machine learning. These systems’ actual benefit depends on the recognition capacity of models in unconstrained environments and applica

  • PDF / 84,240,709 Bytes
  • 499 Pages / 439.37 x 666.142 pts Page_size
  • 12 Downloads / 174 Views

DOWNLOAD

REPORT

Recommend Documents
Ameliorated Face and Iris Recognition Using Deep Convolutional Networks

206 29 18MB

An efficient method for human hand gesture detection and recognition using deep learning convolutional neural networks

220 15 1MB

Sensible Autonomous Machine Using Deep Learning and Convolutional Neural Networks

217 71 39MB

Convolution of Images Using Deep Neural Networks in the Recognition of Footage Objects

174 86 10MB

Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks

163 27 2MB

Detection of Artificial Images and Changes in Real Images Using Convolutional Neural Networks

194 2 38MB

Biomedical Text Recognition Using Convolutional Neural Networks: Content Based Deep Learning

171 21 102MB

Vietnamese Food Recognition System Using Convolutional Neural Networks Based Features

200 89 88MB

Influence Quantity Estimation in Face Recognition Digital Processing Algorithms

171 50 14MB

Natural Image Matting Using Deep Convolutional Neural Networks

169 54 6MB

Age and Gender Recognition from Speech Using Deep Neural Networks

240 20 82MB

Convolutional Neural Networks for Traffic Signs Recognition

196 92 24MB