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PyTorch Implementation of "Driver Anomaly Detection: A Dataset and Contrastive Learning Approach", codes and pretrained models.

Results 6 Driver-Anomaly-Detection issues
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Hello okankop,JiapengZh,eniolasonowo, Thanks for your best work! I have some questions about the dataset decompression. The trouble is that when I decompressed it, I found that some data could not...

Hi @okankop , I think you might have made an error in the code for validation/testing. It seems that the value of threshold is determined by the results on validation/testing....

hello @okankop @JiapengZh @eniolasonowo Thanks for your best work! I have some questions about dataset structure, can you share the dataset structure with me ? I want to know the...

I have repeated the experiment for many times and eventually at the 14th epoch, the process is killed, mainly due to my CPU RAM is exhausted. My current configuration is...

Hi Okan, Interesting work! I try to use your model in the application. But my RGBD camera is **realsense**, which depth picture seems different from yours. So, would you please...

Hi Okan, Interesting work! I am quite curious about the reason why you only collect the depth and infrared frames. I believe that RGB frame is more widely used in...