[PDF][PDF] Adapted CNN-SMOTE-BGMM deep learning framework for network intrusion detection using unbalanced dataset

WF Kamil - Iraqi Journal of Science, 2023 - iasj.net
This paper proposes a method for improving network security by introducing an Intrusion
Detection System (IDS) framework between end devices. It considers big data challenges …

Are we ready for accurate and unbiased fine-grained vehicle classification in realistic environments?

HC Sánchez, NH Parra, IP Alonso, E Nebot… - IEEE …, 2021 - ieeexplore.ieee.org
Fine-grained vehicle classification from images, also known as Vehicle Make and Model
Recognition (VMMR), has become an important research topic in the last years, with a …

Knowledge-Distillation-Based Label Smoothing for Fine-Grained Open-Set Vehicle Recognition

S Wolf, D Loran, J Beyerer - Proceedings of the IEEE/CVF …, 2024 - openaccess.thecvf.com
Fine-grained vehicle classification describes the task of estimating the make and the model
of a vehicle based on an image. It provides a useful tool for security authorities to find …

Improvement on deep features through various enhancement techniques for vehicles classification

VK Kiran, S Dash, P Parida - Sensing and Imaging, 2021 - Springer
In the smart transport network, the classification of vehicles plays a significant role. However,
the traditional classification systems of vehicles can not satisfy the specifications of real-time …

Hierarchical novelty detection for traffic sign recognition

I Ruiz, J Serrat - Sensors, 2022 - mdpi.com
Recent works have made significant progress in novelty detection, ie, the problem of
detecting samples of novel classes, never seen during training, while classifying those that …

Veri-Car: Towards Open-world Vehicle Information Retrieval

A Muñoz, N Thomas, A Vapsi, D Borrajo - arXiv preprint arXiv:2411.06864, 2024 - arxiv.org
Many industrial and service sectors require tools to extract vehicle characteristics from
images. This is a complex task not only by the variety of noise, and large number of classes …

[HTML][HTML] LPDi GAN: a license plate de-identification method to preserve strong data utility

X Li, H Liu, Q Lin, Q Sun, Q Jiang, S Su - Sensors, 2024 - mdpi.com
License plate (LP) information is an important part of personal privacy, which is protected by
law. However, in some publicly available transportation datasets, the LP areas in the images …

Addressing bias in fine-grained classification datasets: A strategy for reliable evaluation

S Wolf, J Koch, L Sommer… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
The high specificity of classes in fine-grained clas-sification tasks leads to a small number of
images per class in the common research datasets. Thus, the intra-class variance, such as …

[PDF][PDF] A Baseline for Cross-Domain Fine-Grained Vehicle Classification in a Supervised Partially Zero-Shot Setting

S Wolf - Workshop of Fraunhofer IOSB and Institute for …, 2023 - library.oapen.org
Fine-grained vehicle classification is an important task particularly for security applications
like searching for cars of suspects who abuse stolen license plates. However, data privacy …

A Fine-Grained Image Classification Approach for Dog Feces Using MC-SCMNet under Complex Backgrounds

J Liang, W Cai, Z Xu, G Zhou, J Li, Z Xiang - Animals, 2023 - mdpi.com
Simple Summary Currently, more and more people keep dogs, and the gastrointestinal
diseases of pet dogs have brought great losses to families. However, the condition of the …