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- Frequency Masking for Universal Deepfake Detection65
This work makes the first attempt to explore masked image modeling for universal deepfake detection via frequency masking, and studies spatial and frequency domain masking in training deepfake detectors.
- Improving the Detection of Small Oriented Objects in Aerial Images28
This work proposed a method to accurately detect small oriented objects in aerial images by enhancing the classification and regression tasks of the oriented object detection model by designing the Attention-Points Network.
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- Towards Sustainable Universal Deepfake Detection with Frequency-Domain Masking1
This work demonstrates that frequency masking not only enhances detection accuracy across diverse generators but also maintains performance under significant model pruning, offering a scalable and resource-conscious solution to universal deepfake detection.
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Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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