Papers Fine-Grained Vehicle Classification
“Fine-Grained Vehicle Classification” 태그가 달린 논문 8편 · 필터 해제
Toward Enhancing Vehicle Color Recognition in Adverse Conditions: A Dataset and Benchmark
Vehicle information recognition is crucial in various practical domains, particularly in criminal investigations. Vehicle Color Recognition (VCR) has garnered significant research interest because color is a visually dis…
AttributeFine-Grained Vehicle ClassificationLicense Plate RecognitionVehicle Color RecognitionFine-Grained Vehicle Classification in Urban Traffic Scenes using Deep Learning
The increasingly dense traffic is becoming a challenge in our local settings, urging the need for a better traffic monitoring and management system. Fine-grained vehicle classification appears to be a challenging task as…
ClassificationFine-Grained Vehicle ClassificationManagementvehicle detectionProxy Anchor Loss for Deep Metric Learning
Existing metric learning losses can be categorized into two classes: pair-based and proxy-based losses. The former class can leverage fine-grained semantic relations between data points, but slows convergence in general …
Fine-Grained Image ClassificationFine-Grained Vehicle ClassificationMetric LearningVehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural Networks
This work addresses the problem of vehicle identification through non-overlapping cameras. As our main contribution, we introduce a novel dataset for vehicle identification, called Vehicle-Rear, that contains more than t…
Fine-Grained Vehicle ClassificationLicense Plate DetectionLicense Plate RecognitionOptical Character Recognition (OCR)+1Channel Max Pooling Layer for Fine-Grained Vehicle Classification
Deep convolutional networks have recently shown excellent performance on Fine-Grained Vehicle Classification. Based on these existing works, we consider that the back-probation algorithm does not focus on extracting less…
ClassificationFine-Grained Vehicle ClassificationGeneral ClassificationFine-Grained Vehicle Classification with Unsupervised Parts Co-occurrence Learning
Vehicle fine-grained classification is a challenging research problem with little attention in the field. In this paper, we propose a deep network architecture for vehicles fine-grained classification without the need of…
ClassificationFine-Grained Image ClassificationFine-Grained Vehicle ClassificationGeneral Classification+1Vehicle classification using ResNets, localisation and spatially-weighted pooling
We investigate whether ResNet architectures can outperform more traditional Convolutional Neural Networks on the task of fine-grained vehicle classification. We train and test ResNet-18, ResNet-34 and ResNet-50 on the Co…
ClassificationFine-Grained Vehicle ClassificationGeneral ClassificationA Systematic Evaluation of Recent Deep Learning Architectures for Fine-Grained Vehicle Classification
Fine-grained vehicle classification is the task of classifying make, model, and year of a vehicle. This is a very challenging task, because vehicles of different types but similar color and viewpoint can often look much …
ClassificationData AugmentationFine-Grained Vehicle ClassificationGeneral Classification+2