Add to ORKGIn this work we introduce a large-scale, fine-grained dataset of cars. This dataset, consisting of 197 classes and 16,185 images, represents an order of magnitude increase in size over the only existing fine-grained car dataset [7
The objective of this work is to improve performance in fine-grained visual categorization (FGVC). I...
This paper presents a novel approach for multi-view car detection using unsupervised sub-categorizat...
This dataset is a subset of 74 videos from the multimodal in-the-wild dataset MuSe-CAR. It contains ...
The previous fine-grained datasets mainly focus on classification and are often captured in a contro...
Fine-grained categorization of object classes is receiving increased attention, since it promises to...
The dataset contains JPEG images of vehicles. It has a total of 3858 images which is divided into 80...
This paper introduces FGVC-Aircraft, a new dataset containing 10,000 images of aircraft spanning 100...
This dataset contains 4800 tiny and low resolution vehicle images. The vehicles in the images are gr...
This dataset contains 4800 tiny and low resolution vehicle images collected in low lighting and diff...
Fine-grained vehicle classification is a challenging task due to the subtle differences between vehi...
The dataset contains 2,919 images and separated into five classes of car, taxi, truck, bus and mot...
In Tab. 1 we give the classes and number of images in each class for BMW-10. In Tab. 2 we do the sam...
After creating VTID, the researchers decided to extend the collection process to create another larg...
GP22 is the dataset relevant to the designer's perspective and practices. The dataset involves side...
This paper reports the development of a highly parameterised 3-D model able to adopt the shapes of a...
The objective of this work is to improve performance in fine-grained visual categorization (FGVC). I...
This paper presents a novel approach for multi-view car detection using unsupervised sub-categorizat...
This dataset is a subset of 74 videos from the multimodal in-the-wild dataset MuSe-CAR. It contains ...
The previous fine-grained datasets mainly focus on classification and are often captured in a contro...
Fine-grained categorization of object classes is receiving increased attention, since it promises to...
The dataset contains JPEG images of vehicles. It has a total of 3858 images which is divided into 80...
This paper introduces FGVC-Aircraft, a new dataset containing 10,000 images of aircraft spanning 100...
This dataset contains 4800 tiny and low resolution vehicle images. The vehicles in the images are gr...
This dataset contains 4800 tiny and low resolution vehicle images collected in low lighting and diff...
Fine-grained vehicle classification is a challenging task due to the subtle differences between vehi...
The dataset contains 2,919 images and separated into five classes of car, taxi, truck, bus and mot...
In Tab. 1 we give the classes and number of images in each class for BMW-10. In Tab. 2 we do the sam...
After creating VTID, the researchers decided to extend the collection process to create another larg...
GP22 is the dataset relevant to the designer's perspective and practices. The dataset involves side...
This paper reports the development of a highly parameterised 3-D model able to adopt the shapes of a...
The objective of this work is to improve performance in fine-grained visual categorization (FGVC). I...
This paper presents a novel approach for multi-view car detection using unsupervised sub-categorizat...
This dataset is a subset of 74 videos from the multimodal in-the-wild dataset MuSe-CAR. It contains ...