| Paper | Code | Accuracy | ModelName | ReleaseDate |
|---|---|---|---|---|
| Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods | ✓ Link | 99.71% | CNN with 3 Spatial Transformers | 2018-03-01 |
| Sill-Net: Feature Augmentation with Separated Illumination Representation | ✓ Link | 99.68% | Sill-Net | 2021-02-06 |
| SeqNet: Sequential Networks for One-Shot Traffic Sign Recognition With Transfer Learning | ✓ Link | 99.66% | SeqNet | 2024-09-23 |
| MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification | ✓ Link | 98.9% | MicronNet (fp16) | 2018-03-28 |
| Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision | ✓ Link | 90.71% | SEER (RegNet10B) | 2022-02-16 |