Log In Sign Up

Classification of Smoking and Calling using Deep Learning

by   Miaowei Wang, et al.

Since 2014, very deep convolutional neural networks have been proposed and become the must-have weapon for champions in all kinds of competition. In this report, a pipeline is introduced to perform the classification of smoking and calling by modifying the pretrained inception V3. Brightness enhancing based on deep learning is implemented to improve the classification of this classification task along with other useful training tricks. Based on the quality and quantity results, it can be concluded that this pipeline with small biased samples is practical and useful with high accuracy.


page 2

page 3

page 4


Automatic localization and decoding of honeybee markers using deep convolutional neural networks

The honeybee is a fascinating model for the emergence of collective beha...

Transfer Learning based Detection of Diabetic Retinopathy from Small Dataset

Annotated training data insufficiency remains to be one of the challenge...

Local Contrast Learning

Learning a deep model from small data is yet an opening and challenging ...

Detection of asteroid trails in Hubble Space Telescope images using Deep Learning

We present an application of Deep Learning for the image recognition of ...

Dank Learning: Generating Memes Using Deep Neural Networks

We introduce a novel meme generation system, which given any image can p...