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Knowledge-distillation-based label smoothing for fine-grained open-set vehicle recognition
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 …
of a vehicle based on an image. It provides a useful tool for security authorities to find …
[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 …
Detection System (IDS) framework between end devices. It considers big data challenges …
[HTML][HTML] 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 …
detecting samples of novel classes, never seen during training, while classifying those that …
Are we ready for accurate and unbiased fine-grained vehicle classification in realistic environments?
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 …
Recognition (VMMR), has become an important research topic in the last years, with a …
[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 …
law. However, in some publicly available transportation datasets, the LP areas in the images …
Veri-Car: Towards Open-world Vehicle Information Retrieval
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 …
images. This is a complex task not only by the variety of noise, and large number of classes …
Improvement on deep features through various enhancement techniques for vehicles classification
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 …
the traditional classification systems of vehicles can not satisfy the specifications of real-time …
Contextually aware roadside radiation measurement testbed
N McFerran, E Albin, B Canion, S Czyz, J Dreyer… - Nuclear Instruments and …, 2023 - Elsevier
We demonstrate a contextually aware multimodal roadside radiation measurement detection
testbed for traffic monitoring applications in nuclear nonproliferation. Many variables in traffic …
testbed for traffic monitoring applications in nuclear nonproliferation. Many variables in traffic …
A Fine-Grained Image Classification Approach for Dog Feces Using MC-SCMNet under Complex Backgrounds
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 …
diseases of pet dogs have brought great losses to families. However, the condition of the …
Vehicle Pose Estimation: Exploring Angular Representations
I Orlov, M Buzzelli, R Schettini - Proceedings of the 19th International …, 2024 - boa.unimib.it
This paper addresses the challenge of azimuth estimation in the context of car pose
estimation. Our research utilizes the PASCAL3D+ dataset, which offers a diverse range of …
estimation. Our research utilizes the PASCAL3D+ dataset, which offers a diverse range of …