The concept of plant community and community classification were expatiated, the study history and actuality were summarized, and the developmental trends of phytocoenology were prospected.
Since different kinds of face forgeries leave similar forgery traces in videos,learning the common features from different kinds of forged faces would achieve promising generalization ability of forgery detection.Ther...Since different kinds of face forgeries leave similar forgery traces in videos,learning the common features from different kinds of forged faces would achieve promising generalization ability of forgery detection.Therefore,to accurately detect known forgeries while ensuring high generalization ability of detecting unknown forgeries,we propose an intra-inter network(IIN)for face forgery detection(FFD)in videos with continual learning.The proposed IIN mainly consists of three modules,i.e.,intra-module,inter-module,and forged trace masking module(FTMM).Specifically,the intra-module is trained for each kind of face forgeries by supervised learning to extract special features,while the inter-module is trained by self-supervised learning to extract the common features.As a result,the common and special features of the different forgeries are decoupled by the two feature learning modules,and then the decoupled common features can be utlized to achieve high generalization ability for FFD.Moreover,the FTMM is deployed for contrastive learning to further improve detection accuracy.The experimental results on FaceForensic++dataset demonstrate that the proposed IIN outperforms the state-of-the-arts in FFD.Also,the generalization ability of the IIN verified on DFDC and Celeb-DF datasets demonstrates that the proposed IIN significantly improves the generalization ability for FFD.展开更多
The purpose of this paper is no investigate the asymptotic behavior of soluti- ons of the fored nonlinear neutral diffierential equationsOur rosults, as a special case, improve and extend the corresponding results in[...The purpose of this paper is no investigate the asymptotic behavior of soluti- ons of the fored nonlinear neutral diffierential equationsOur rosults, as a special case, improve and extend the corresponding results in[1] and [2].展开更多
文摘The concept of plant community and community classification were expatiated, the study history and actuality were summarized, and the developmental trends of phytocoenology were prospected.
文摘Since different kinds of face forgeries leave similar forgery traces in videos,learning the common features from different kinds of forged faces would achieve promising generalization ability of forgery detection.Therefore,to accurately detect known forgeries while ensuring high generalization ability of detecting unknown forgeries,we propose an intra-inter network(IIN)for face forgery detection(FFD)in videos with continual learning.The proposed IIN mainly consists of three modules,i.e.,intra-module,inter-module,and forged trace masking module(FTMM).Specifically,the intra-module is trained for each kind of face forgeries by supervised learning to extract special features,while the inter-module is trained by self-supervised learning to extract the common features.As a result,the common and special features of the different forgeries are decoupled by the two feature learning modules,and then the decoupled common features can be utlized to achieve high generalization ability for FFD.Moreover,the FTMM is deployed for contrastive learning to further improve detection accuracy.The experimental results on FaceForensic++dataset demonstrate that the proposed IIN outperforms the state-of-the-arts in FFD.Also,the generalization ability of the IIN verified on DFDC and Celeb-DF datasets demonstrates that the proposed IIN significantly improves the generalization ability for FFD.
文摘The purpose of this paper is no investigate the asymptotic behavior of soluti- ons of the fored nonlinear neutral diffierential equationsOur rosults, as a special case, improve and extend the corresponding results in[1] and [2].
