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Found 5 papers, 2 papers with code
License Plate Detection and Recognition Using Deeply Learned Convolutional Neural Networks
This work details Sighthounds fully automated license plate detection and recognition system.
DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network
This paper describes the details of Sighthound's fully automated age, gender and emotion recognition system.
View Independent Vehicle Make, Model and Color Recognition Using Convolutional Neural Network
The backbone of our system is a deep convolutional neural network that is not only computationally inexpensive, but also provides state-of-the-art results on several competitive benchmarks.
Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video
In order to learn discriminative and compact features, we propose a new feature learning method using a deep neural network based on auto encoders.
Improving an Object Detector and Extracting Regions Using Superpixels
In general, our method takes detection bounding boxes of a generic detector as input and generates the detection output with higher average precision and precise object regions.
