Convolutional neural networks (CNNs) have recently shown excellent performance on the
task of fine-grained vehicle classification, where the motivation is to identify the fine-grained …

Fine-grained car recognition aims to recognize the category information of a car, such as car
make, car model, or even the year of manufacture. A number of recent studies have shown …

Fine-grained vehicle classification is a challenging topic in computer vision due to the high
intraclass variance and low interclass variance. Recently, considerable progress has been …

Vehicle type classification (VTC) plays an important role in today's intelligent transportation.
Previous VTC systems usually run on a monitoring center's host machine due to the models' …

Along with the growing demands of intelligent traffic system, how to recognize the category
information of a car from surveillance cameras has been an important task. Fine-grained car …

Fine-grained vehicle model recognition is a challenging problem in intelligent transportation
systems due to the subtle intra-category appearance variation. In this paper, we demonstrate …

In this paper, we focus on fine-grained recognition of vehicles mainly in traffic surveillance
applications. We propose an approach that is orthogonal to recent advancements in fine …

Vehicle make and model recognition (VMMR) has become an important part of intelligent
transportation systems. VMMR can be useful when license plate recognition is not feasible …

Fine-grained visual categorization (FGVC) is an important but challenging task due to high
intra-class variances and low inter-class variances caused by deformation, occlusion …

A model for fine-grained vehicle classification based on deep learning is proposed to handle
complicated transportation scene. This model comprises of two parts, vehicle detection …