A two-stage pipeline using YOLOv8n for student localization and RexNet-150 for behavior classification achieves 0.95 accuracy on 273,897 samples from 10 sources, with 13.9 ms inference time.
A 3d-cnn and lstm based multi-task learning architecture for action recognition.IEEE Access, 7:40757– 40770
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A Two-Stage, Object-Centric Deep Learning Framework for Robust Exam Cheating Detection
A two-stage pipeline using YOLOv8n for student localization and RexNet-150 for behavior classification achieves 0.95 accuracy on 273,897 samples from 10 sources, with 13.9 ms inference time.