Motion-based AI video detectors exploit motion biases in evaluation datasets and drop to near-random performance on rebalanced data, while frequency-based detectors remain robust.
Mostafa, Fernando Pérez-González, and Miguel Masciopinto
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
GPT-4o successfully completed all three refactoring tasks but only one of three gameplay feature generation tasks in the studied endless runner game.
citing papers explorer
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Dataset Biases and Shortcut Learning in Motion-Based AI-Generated Video Detection
Motion-based AI video detectors exploit motion biases in evaluation datasets and drop to near-random performance on rebalanced data, while frequency-based detectors remain robust.
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An Exploratory Case Study of LLM-Assisted Refactoring and Gameplay Feature Generation in an Endless Runner Game
GPT-4o successfully completed all three refactoring tasks but only one of three gameplay feature generation tasks in the studied endless runner game.