… field, here our work comes on pre-trained models and techniques for dealing with … pedestrians
tracking in parallel with improving the detection algorithm, we will study improve tracking …

… approach to boost traditional pedestrian detection methods. … KITTI is divided into two
subclasses: pedestrian and cyclist, both … branch was pretrained to perform detection …

… multiple sub-classes of vehicles so that the network can better … We propose to use multiple
sub-classes of vehicles instead … evaluated for fine tuning a pre-trained model to be used with …

… ray tracing engine Intel OSPRay [28] to improve rendering … low-level feature extraction,
pre-trained on the ImageNet [4] … classes are mapped from similar sub-classes in the datasets, …

… study [26], where deep learning models identified diseases in maize leaves. Fine-tuning
significantly improved the performance of pre-trained models, resulting in disease classification …

… Pre-trained VGG-16 weights comprised the feature detecting … precision could be increased
with van subclasses. The … We will continue to improve our models for use in traffic related …

… To better model the complex appearance and spatial relationship in crowded scenes, we
utilize a mixture model with several subclasses … , which uses a pre-trained classifiers to scan …

… domains to improve the performance of pre-trained detectors in … and used tracking and
online learning to boost detectors. Despite … of manifold subclasses,” IEEE Trans. Intell. Transp. …

… better understanding of the behavior the detector presents, an example of pedestrian detection
… .caffemodel file (a file that contains the pre-trained model) and associated to a layer with …

… pedestrians had 50 pixels in height only) and colorized (!) to fit to the input size of the typical,
pre-trained model of the CNN detector, … to increase the pedestrian detection performance. …