Closed ghost closed 1 year ago
Hi,
To ensure accurate evaluation, I recommend testing your evaluation code with the pretrained model provided by KEDMI author. You can find the model at the following GitHub repository: https://github.com/SCccc21/Knowledge-Enriched-DMI
If you encounter low classification accuracy, it's possible that there might be some issues in your evaluation code, such as the dataloader. I suggest double-checking your implementation for any bugs or errors.
Ngoc
Hello! I used the checkpoints of the target classifier VGG16 and IR152 provided by you and tested the classification accuracy. Why is the acc only 9.97%?