Advanced data augmentation with Generative Adversarial Networks for vehicle detection
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
PyTorch implementation of GOTURN object tracker: Learning to Track at 100 FPS with Deep Regression Networks (ECCV 2016)
Detecting Vehicles using YOLOv3 model and tracking them by means of Kalman Filter
Repository for "Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks", implemented with Caffe, C++ interface.
Learning to detect fake face images in the wild. We use a deep fully convolutional network based on Siamese network and contrastive loss.
