Feb 21, 2023 · We propose a novel two-in-one knowledge distillation framework which can smoothly merge the information from a large dual-branch network into a small single- ...
To handle such problem, we propose a novel two-in-one knowledge distillation framework which can smoothly merge the information from a large dual-branch network ...
Feb 21, 2023 · To this end, we propose a novel two-in-one knowledge distillation (TOKD) framework for efficient facial forgery detection. The proposed method ...
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Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection ... More specifically, knowledge distillation on both the spatial and frequency branches ...
The experimental results show that the proposed teacher-student framework to improve the cross-domain performance of face PAD with one- class domain ...
In our study, two lightweight deep learning models are proposed to conduct forgery detection using these images. Additionally, 8 different pretrained CNN ...
Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection (arXiv '23') [Paper] ... An approach for copy-move image multiple forgery detection based ...
Extensive experiments demonstrate that our method is surprisingly effective in exposing new forgeries, and can be plug-and-play on other DeepFake detection ...
Mar 28, 2023 · In the knowledge distillation process for forgery detection, two key points are worth mentioning, i.e., expert selection and data selection. For ...
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This strategy can provide effective gradients to the con- trastive loss and highlight samples with essential forgery clues. Third, considering the local ...