Table 2 Experimental environment and parameters.
From: A novel dual-student reverse knowledge distillation method for magnetic tile defect detection
Disposition | Performance parameters |
|---|---|
Operating system | Windows 11 64-bit |
CPU | AMDRyzen75800H |
GPU | NVIDIAGeForce RTX 3060 GPU |
RAM | 16GB |
Image size | 256 \(\times\) 256 |
The number of iterations | 200 |
Learning rate | 0.001 |
