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Research questionHow can image-based deepfake detectors stay accurate on low-resolution inputs under tight compute budgets?Low-resolution inputs can reduce the visual evidence available for detecting manipulation, while expensive inference can prevent deployment in resource-constrained environments.
AI
Computer Vision
Evaluation & Benchmarks
Image & Video Processing
Inference Optimization
Small / On-device Models
Latest papersRecent research connected to this question, newest first.Adaptive Gated Deepfake Detection for Low-Resolution and Resource-Constrained EnvironmentsThe source evaluates AdaGate-DF on Celeb-DF and FaceForensics++ across image resolutions and training or inference configurations, reporting AUC, latency, efficiency, and performance under class imbalance. The evidence is limited to those benchmark datasets and evaluated settings.research paper · Sep 4, 2026
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