Dual cross-entropy loss for small-sample fine-grained vehicle classification
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 …
intraclass variance and low interclass variance. Recently, considerable progress has been …
Fine-grained vehicle classification with channel max pooling modified CNNs
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 …
task of fine-grained vehicle classification, where the motivation is to identify the fine-grained …
Fine-grained vehicle type classification using lightweight convolutional neural network with feature optimization and joint learning strategy
W Sun, G Zhang, X Zhang, X Zhang, N Ge - Multimedia Tools and …, 2021 - Springer
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' …
Previous VTC systems usually run on a monitoring center's host machine due to the models' …
Deep CNNs with spatially weighted pooling for fine-grained car recognition
Q Hu, H Wang, T Li, C Shen - IEEE Transactions on Intelligent …, 2017 - ieeexplore.ieee.org
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 …
make, car model, or even the year of manufacture. A number of recent studies have shown …
Boxcars: Improving fine-grained recognition of vehicles using 3-d bounding boxes in traffic surveillance
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 …
applications. We propose an approach that is orthogonal to recent advancements in fine …
Multi-path deep cnns for fine-grained car recognition
H Wang, J Peng, Y Zhao, X Fu - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …
information of a car from surveillance cameras has been an important task. Fine-grained car …
Fine-grained vehicle model recognition using a coarse-to-fine convolutional neural network architecture
J Fang, Y Zhou, Y Yu, S Du - IEEE Transactions on Intelligent …, 2016 - ieeexplore.ieee.org
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 …
systems due to the subtle intra-category appearance variation. In this paper, we demonstrate …
Hyper-class augmented and regularized deep learning for fine-grained image classification
Deep convolutional neural networks (CNN) have seen tremendous success in large-scale
generic object recognition. In comparison with generic object recognition, fine-grained …
generic object recognition. In comparison with generic object recognition, fine-grained …
The devil is in the channels: Mutual-channel loss for fine-grained image classification
The key to solving fine-grained image categorization is finding discriminate and local
regions that correspond to subtle visual traits. Great strides have been made, with complex …
regions that correspond to subtle visual traits. Great strides have been made, with complex …
Learning a mixture of granularity-specific experts for fine-grained categorization
We aim to divide the problem space of fine-grained recognition into some specific regions.
To achieve this, we develop a unified framework based on a mixture of experts. Due to …
To achieve this, we develop a unified framework based on a mixture of experts. Due to …