A repository for the paper "Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild"
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Apr 6, 2020 - Jupyter Notebook
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gtsrb
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Deep leaning for traffic sign classification in keras and python
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Sep 19, 2018 - Jupyter Notebook
Code for the paper entitled "Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods".
deep-neural-networks deep-learning artificial-intelligence convolutional-layers convolutional-neural-networks torch7 research-paper spatial-transformer-network traffic-sign-classification gtsrb traffic-sign-recognition gtsrb-dataset
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Oct 18, 2018 - Lua
Classify traffic signs by three classic ConvNets architecture using GTSRB dataset.
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May 6, 2018 - Jupyter Notebook
Traffic Sign Detection 🇩🇪 Praktische Implementierung einer Verkehrszeichenerkennung mit OpenCV und Tensorflow im Rahmen einer Studienarbeit.
opencv machine-learning computer-vision tensorflow paper cnn dataset autonomous-driving traffic-sign-classification gtsrb
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Apr 8, 2024 - Python
German Traffic Sign Recognition Benchmark (GTSRB) AlexNet pycaffe model. http://benchmark.ini.rub.de/
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Oct 21, 2019 - Python
TensorFlow Lite classification model for German Traffic Sign Benchmarks dataset, built on top of MobileNet v1
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Sep 21, 2020 - Jupyter Notebook
Detect traffic sign and recognize them using Image Processing algorithms and Machine Learning(Random Forest)
classifier machine-learning matlab image-processing classification traffic-sign-classification gtsrb traffic-sign-recognition histogram-of-oriented-gradients random-forest-classifier gtsrb-dataset traffic-sign-detection gtsdb gtsdb-dataset
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Jun 25, 2022 - MATLAB
Robust Transformer with Locality Inductive Bias and Feature Normalization (JESTECH 2023)
transformers cifar10 data-augmentation traffic-sign-classification gtsrb robustness adversarial-attacks
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Jul 14, 2024 - Python
GTSRB (Traffic sign), MNIST, CIFAR image classification and other good starting point
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Dec 30, 2018 - Jupyter Notebook
The German Traffic Sign Benchmark is a multi-class, single-image classification challenge. Humans are capable of recognizing the large variety of existing road signs with close to 100% correctness.Then what about machines, Can we make them intelligent like humans ?
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May 4, 2017 - Jupyter Notebook
Dieses Projekt beschäftigt sich mit der Entwicklung eines flachen CNN zur Erkennung von Verkehrsschildern. Das Projekt beinhaltet alle dazu benötigten Programme und Tools.
code beginner-project tensorflow keras autonomous-car autonomous-driving cnn-model gtsrb neuronal-network ki gtsrb-dataset
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Feb 5, 2021 - Python
Fast and accurate ResNet for the GTSRB dataset
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Oct 27, 2018 - Python
Building autonomous vehicles from the ground up!
deep-learning image-processing autonomous-vehicles gtsrb car-detection lane-lines-detection traffic-sign-detection
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Nov 22, 2020 - Jupyter Notebook
Training a VGG16 Network to Classify Traffic Signs using the German Traffic Sign Recognition Benchmark (GTSRB)
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Dec 3, 2021 - Jupyter Notebook
A CNN model to classify German traffic signs
machine-learning computer-vision deep-learning tensorflow convolutional-neural-networks convolutional-neural-network traffic-sign-classification gtsrb gtsrb-dataset
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May 17, 2018 - Jupyter Notebook
Detect and Analyze Trojan attacks on deep neural networks that are designed to be difficult to detect.
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Jul 25, 2024 - Jupyter Notebook
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