| Benchmarking Local Robustness of High-Accuracy Binary Neural Networks for Enhanced Traffic Sign Recognition | Sep 25, 2023 | Autonomous DrivingBenchmarking | CodeCode Available | 1 | 5 |
| Robust Transformer with Locality Inductive Bias and Feature Normalization | Jan 27, 2023 | Inductive BiasTraffic Sign Recognition | CodeCode Available | 1 | 5 |
| SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations | Jul 8, 2020 | Object DetectionTraffic Sign Recognition | CodeCode Available | 1 | 5 |
| Keep your Distance: Determining Sampling and Distance Thresholds in Machine Learning Monitoring | Jul 11, 2022 | Autonomous VehiclesBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment | Jun 23, 2020 | Data AugmentationDecoder | CodeCode Available | 1 | 5 |
| CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense | Oct 30, 2024 | Adversarial DefenseDisentanglement | CodeCode Available | 1 | 5 |
| Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon | Mar 8, 2022 | Adversarial AttackTraffic Sign Recognition | CodeCode Available | 1 | 5 |
| Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attacks | Dec 26, 2022 | Adversarial AttackFace Recognition | CodeCode Available | 1 | 5 |
| Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving | May 3, 2023 | Autonomous DrivingDiversity | CodeCode Available | 1 | 5 |
| Adversarial Sticker: A Stealthy Attack Method in the Physical World | Apr 14, 2021 | Face RecognitionImage Retrieval | CodeCode Available | 1 | 5 |
| GLARE: A Dataset for Traffic Sign Detection in Sun Glare | Sep 19, 2022 | object-detectionObject Detection | CodeCode Available | 1 | 5 |
| Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems | Aug 3, 2021 | Autonomous DrivingAutonomous Vehicles | CodeCode Available | 1 | 5 |
| A real-time and high-precision method for small traffic-signs recognition | Sep 25, 2021 | Data Augmentationobject-detection | CodeCode Available | 1 | 5 |
| Sill-Net: Feature Augmentation with Separated Illumination Representation | Feb 6, 2021 | Few-Shot Image ClassificationImage Classification | CodeCode Available | 1 | 5 |
| MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification | Mar 28, 2018 | General ClassificationTraffic Sign Recognition | CodeCode Available | 0 | 5 |
| Metric Learning for Novelty and Anomaly Detection | Aug 16, 2018 | Anomaly DetectionMetric Learning | CodeCode Available | 0 | 5 |
| Multi-column Deep Neural Networks for Image Classification | Feb 13, 2012 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| Towards Context-Agnostic Learning Using Synthetic Data | May 29, 2020 | Few-Shot Learningimage-classification | CodeCode Available | 0 | 5 |
| Improving traffic sign recognition by active search | Nov 29, 2021 | Active LearningTraffic Sign Recognition | CodeCode Available | 0 | 5 |
| Adversarial Robustness Certification for Bayesian Neural Networks | Jun 23, 2023 | Adversarial RobustnessCollision Avoidance | CodeCode Available | 0 | 5 |
| NetTailor: Tuning the Architecture, Not Just the Weights | Jun 29, 2019 | Continual LearningObject Recognition | CodeCode Available | 0 | 5 |
| Evaluating Adversarial Attacks on Traffic Sign Classifiers beyond Standard Baselines | Dec 12, 2024 | Traffic Sign Recognition | CodeCode Available | 0 | 5 |
| Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods | Mar 1, 2018 | General ClassificationTraffic Sign Recognition | CodeCode Available | 0 | 5 |
| Deep Learning for Large-Scale Traffic-Sign Detection and Recognition | Apr 1, 2019 | Deep LearningManagement | CodeCode Available | 0 | 5 |
| Gotta Catch 'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks | Apr 18, 2019 | Adversarial AttackAdversarial Attack Detection | CodeCode Available | 0 | 5 |
