wolfapple / traffic-sign-recognition
Built and trained a deep neural network to classify traffic signs, using PyTorch. The highlights of this solution would be data preprocessing, trained with heavily augmented data and using Spatial Transformer Network.
☆36Updated 4 years ago
Alternatives and similar repositories for traffic-sign-recognition:
Users that are interested in traffic-sign-recognition are comparing it to the libraries listed below
- Track hijacking attack against Multiple-Object Tracking☆46Updated 5 years ago
- Project on 3D Object Detection using Lyft's level5 dataset. Obtained mAP of 0.045 on the private leader board on kaggle and ranked in the…☆22Updated 5 years ago
- Convolutional Neural Network for German Traffic Sign Recognition Benchmark☆119Updated 2 years ago
- Adversarial attack to detectors☆48Updated 3 years ago
- The code of our paper: 'Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples', in Tensorflow.☆52Updated 3 years ago
- Utilize bdd100k dataset and mask r-cnn to detect and recognize objects for self driving cars☆17Updated 5 years ago
- Code for the paper entitled "Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack"…☆35Updated 3 years ago
- I have used YOLOv3 Algorithm for Vehicle Detection and Deep Sort Algorithm for Vehicle Tracking. After tracking the vehicles I have tried…☆17Updated 4 years ago
- Tiny ImageNet Classification Exercise with PyTorch☆16Updated 3 years ago
- LISA Traffic Signs Dataset for Pytorch. For Classification. 32x32 images. I use this to reproduce the Activation Clustering Results.☆19Updated 4 years ago
- Code for "DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks"☆14Updated 2 years ago
- Deep Federated Learning for Autonomous Driving (IV'22)☆37Updated last year
- Code for the 'DARTS: Deceiving Autonomous Cars with Toxic Signs' paper☆36Updated 7 years ago
- PyTorch implementation of Kaggle GTSRB challenge with 99.8% accuracy☆54Updated 6 years ago
- A Implementation of IJCAI-19(Transferable Adversarial Attacks for Image and Video Object Detection)☆92Updated 5 years ago
- Udacity Self Driving Car ND projects - including lane detection, Traffic sign classifier, behaviour cloning☆63Updated 2 years ago
- Public release of code for Robust Physical-World Attacks on Deep Learning Visual Classification (Eykholt et al., CVPR 2018)☆107Updated 4 years ago
- A repository for the generation, visualization, and evaluation of patch based adversarial attacks on the yoloV3 object detection system☆20Updated 3 years ago
- In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more…☆71Updated 5 years ago
- This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defe…☆126Updated 4 years ago
- Rob-GAN: Generator, Discriminator and Adversarial Attacker☆84Updated 6 years ago
- Grid Patch Attack for Object Detection☆43Updated 3 years ago
- This repository contains the jupyter notebooks for the custom-built DenseNet Model build on Tiny ImageNet dataset☆19Updated 4 years ago
- Adversarial Generative Network (AGN) implementation in PyTorch☆32Updated 4 years ago
- training food-101 (achieved SOTA top-1 validation acc ~=90%) using 1-cycle-policy:☆15Updated 5 years ago
- Image classification on Tiny ImageNet☆73Updated last year
- Classification, Object Detection, Adversarial Attack of Chinese Traffic Signs // 中式交通标志图片的分类、目标检测、对抗性攻击☆9Updated 4 years ago
- Implementation of the paper "An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models"☆16Updated 4 years ago
- DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images☆11Updated 4 years ago
- Vanilla, Convolutional, VAE, Conditional VAE☆19Updated 6 years ago