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View Code? Open in Web Editor NEWSL-DDBD: A Novel Driver Distraction Behavior Detection Method Based on Self-supervised Learning with Masked Image Modeling
License: Apache License 2.0
SL-DDBD: A Novel Driver Distraction Behavior Detection Method Based on Self-supervised Learning with Masked Image Modeling
License: Apache License 2.0
We can't get the accuracy of 99.60% on the SFD dataset by your released
checkpoint. We inference on the all samples of origin SFD train subset, and get just about 30%. For the 'c8' folder, we just get 63.2%. Are there any problem of our config? We just run the 'inference.py' as your said.
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