Spatiality-Frequency Domain Video Forgery Detection System Based on ResNet-LSTM-CBAM and DCT Hybrid Network

arXiv:2609.27904 · cs.CV · Submitted 2026-08-21 · Read on arXiv

cs.CV

Submitted: 2026-08-21

Updated: 2026-08-21

Code: https://github.com/SparkleXFantasy/MM-Det

Terminology

• Accuracy — 52× in this paper · explained in 1 episode
• Attention Mechanism — 15× in this paper · explained in 3 episodes
• Feature Extraction — 13× in this paper · explained in 2 episodes
• Ablation — 12× in this paper · explained in 1 episode
• F1 Score — 11× in this paper · explained in 3 episodes
• Robustness — 10× in this paper · explained in 5 episodes
• Discrete Cosine Transform — 7× in this paper
• Transformer — 7× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Convolutional Block Attention Module — 4× in this paper
• Detection Efficiency — 4× in this paper
• Loss Function — 4× in this paper · explained in 2 episodes
• Trace — 4× in this paper · explained in 2 episodes
• Verification — 4× in this paper · explained in 2 episodes
• Activation Function — 3× in this paper · explained in 1 episode
• Adaptability — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Data Augmentation — 2× in this paper · explained in 7 episodes
• False Acceptance Rate — 2× in this paper
• Generalizability — 2× in this paper · explained in 6 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Artificial Intelligence-Generated Content — 1× in this paper
• Bayesian Optimization — 1× in this paper · explained in 3 episodes
• Edge Devices — 1× in this paper · explained in 2 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Hallucination — 1× in this paper · explained in 4 episodes
• Hallucination Detection — 1× in this paper · explained in 2 episodes
• Hybrid Models — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Optical Flow — 1× in this paper · explained in 2 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Resource Constraints — 1× in this paper · explained in 3 episodes
• Temporal Correlations — 1× in this paper · explained in 2 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes

Sources

• Sora Detector: A Unified Hallucination Detection for Large Text-to-Video Models
• Distinguish Any Fake Videos: Unleashing the Power of Large-scale Data and Motion Features
• Detecting AI-Generated Video via Frame Consistency

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