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To defend against manipulation of image content, such as splicing, copy-move, and removal, we develop a Progressive Spatio-Channel Correlation Network (PSCC-Net) to detect and localize image manipulations.
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J. Hu, X. Liao, W. Wang, and Z. Qin, “Detecting compressed deepfake videos in social networks using frame-temporality two-stream convolutional network,” IEEE Trans. Circuit Syst. Video Technol. , 2021
2021
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2021
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Y. Zhang, G. Zhu, L. Wu, S. Kwong, H. Zhang, and Y. Zhou, “Multi-task se-network for image splicing localization,” IEEE Trans. Circuit Syst. Video Technol. , 2021
2021
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H. Wu and J. Zhou, “Iid-net: Image inpainting detection network via neural architecture search and attention,” IEEE Trans. Circuit Syst. Video Technol. , 2021
2021
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S. Gong, X. Liu, and A. Jain, “Mitigating face recognition bias via group adaptive classifier,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR) , 2021
2021
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V. Asnani, X. Yin, T. Hassner, S. Liu, and X. Liu, “Proactive image manipulation detection,” in In Proceeding of IEEE Computer Vision and Pattern Recognition , New Orleans, LA, June 2022
2022
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