| TT100K | Tsinghua-Tencent 100K |
| STC-YOLO | Small traffic sign detection network for complex environments based on YOLO |
| CNN | Convolutional neural network |
| NWD | Normalized Gaussian Wasserstein distance |
| IoU | Intersection over union |
| CCTSDB | CSUST Chinese Traffic Sign Detection Benchmark |
| R-CNN | Region-based convolution neural network |
| YOLO | You only look once |
| SSD | Single shot multibox detector |
| mAP | Mean average precision |
| FPS | Frames per second |
| PFM | Receptive field module |
| PAN | Path aggregation network |
| GTSDB | German Traffic Sign Detection Benchmark |
| SPIE | International Society of Optics and Photonics |
| FPN | Feature pyramid network |
| LISA | Intelligent and Safe Automobiles |
| MPANet | Multiscale path aggregation network |
| C4STB | Four convolution modules and Swin Transformer Block |
| STB | Swin Transformer Block |
| W-MSA | Windows multi-head self-attention |
| SW-MSA | Shift windows multi-head self-attention |
| MLP | Multi-layer perceptron |
| LN | LayerNorm |
| MSA | Multi-head self-attention |
| SGD | Stochastic gradient descent |