Image Tampering Recognition Algorithm Based on Improved YOLOv5s
In order to improve the extraction effect of the features of the tampered region, the model usually relies on a specific feature defined by hand to optimize the model. However, the effect of the model is not ideal when the tampered mode is unknown. In this paper, the Neck layer of the YOLOv5s model...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10238704/ |