2 papers
cs.CV2019
Distant Pedestrian Detection in the Wild using Single Shot Detector with Deep Convolutional Generative Adversarial Networks
Ranjith Dinakaran, Philip Easom, Li Zhang +3
In this work, we examine the feasibility of applying Deep Convolutional Generative Adversarial Networks (DCGANs) with Single Shot Detector (SSD) as data-processing technique to han…
cs.CV2018
Deep Learning based Pedestrian Detection at Distance in Smart Cities
Ranjith K Dinakaran, Philip Easom, Ahmed Bouridane +4
Generative adversarial networks (GANs) have been promising for many computer vision problems due to their powerful capabilities to enhance the data for training and test. In this p…