Summary of Multiple Instance Learning For Cheating Detection and Localization in Online Examinations, by Yemeng Liu et al.
Multiple Instance Learning for Cheating Detection and Localization in Online Examinations
by Yemeng Liu, Jing Ren, Jianshuo Xu, Xiaomei Bai, Roopdeep Kaur, Feng Xia
First submitted to arxiv on: 9 Feb 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper presents CHEESE, a multi-modal framework for detecting cheating behavior in online exams. The model incorporates features from various sources, including head posture, gaze angle, body posture, and background information, to detect rare but significant instances of cheating. The authors develop a label generator that employs weak supervision and a feature encoder to learn discriminative patterns. By combining these features with spatio-temporal graph analysis, CHEESE effectively detects cheating behaviors in video clips. The framework outperforms state-of-the-art approaches on three datasets: UCF-Crime, ShanghaiTech, and Online Exam Proctoring (OEP), achieving an impressive frame-level AUC score of 87.58% on the OEP dataset. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps make online exams fair by spotting cheaters. Right now, it’s hard to catch people cheating because there aren’t many features to look at. The authors created a new system called CHEESE that uses lots of information like how someone sits, looks, and moves. They also use special computer programs to study people’s faces and body language. By combining all this data, CHEESE can spot cheaters really well. The results are impressive, showing that CHEESE is better than other methods at catching cheaters. |
Keywords
* Artificial intelligence * Auc * Encoder * Multi modal
