FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312070884> ?p ?o ?g. }

• W4312070884 abstract "With the development of technology, it is becoming easier and easier for people to generate tampered images that are indistinguishable from the human eye, and the malicious use of these photos in news, academic papers, and criminal crimes has brought great harm to society. This paper proposes a deep convolutional neural network-based image forgery localization method to uncover the subtle differences between doctored images and real images. Specifically, the network achieves tampering localization through a three-stage enhancement scheme. First, the dilated convolution in the deep layer of the network is used to keep the feature map resolution constant, and the number of shallow convolutions is decreased to reduce the perceptual field, so the network focuses on local regions. Second, the feature enhancement module is used to fuse shallow features with deep features to effectively filter content information and highlight tampering features, making full use of local and global information to improve the generalization ability. Finally, the attention enhancement module reweights the convolutional feature maps in terms of channels and locations, respectively, to highlight the information regions around the forgery boundaries, thus guiding the network to capture more intrinsic features for image forgery. Extensive experimental results on several public datasets show that this method outperforms other state-of-the-art methods in image forgery localization." @default.
• W4312070884 created "2023-01-04" @default.
• W4312070884 creator A5016581789 @default.
• W4312070884 creator A5055261387 @default.
• W4312070884 creator A5057289409 @default.
• W4312070884 creator A5057938596 @default.
• W4312070884 creator A5078740360 @default.
• W4312070884 creator A5079372376 @default.
• W4312070884 creator A5087249459 @default.
• W4312070884 date "2022-12-21" @default.
• W4312070884 modified "2023-10-16" @default.
• W4312070884 title "Three-stage image forgery localization with shallow feature enhancement and attention" @default.
• W4312070884 cites W1861492603 @default.
• W4312070884 cites W1985613413 @default.
• W4312070884 cites W1994743750 @default.
• W4312070884 cites W2009130368 @default.
• W4312070884 cites W2033206719 @default.
• W4312070884 cites W2052950171 @default.
• W4312070884 cites W2071794886 @default.
• W4312070884 cites W2087361987 @default.
• W4312070884 cites W2162156567 @default.
• W4312070884 cites W2169439181 @default.
• W4312070884 cites W2170343586 @default.
• W4312070884 cites W2194775991 @default.
• W4312070884 cites W2270683370 @default.
• W4312070884 cites W2294458342 @default.
• W4312070884 cites W2514123796 @default.
• W4312070884 cites W2548506527 @default.
• W4312070884 cites W2572561073 @default.
• W4312070884 cites W2752015292 @default.
• W4312070884 cites W2777769595 @default.
• W4312070884 cites W2798117183 @default.
• W4312070884 cites W2892187710 @default.
• W4312070884 cites W2911605501 @default.
• W4312070884 cites W2912648825 @default.
• W4312070884 cites W2948407537 @default.
• W4312070884 cites W2955058313 @default.
• W4312070884 cites W2962914239 @default.
• W4312070884 cites W2964146055 @default.
• W4312070884 cites W2985705680 @default.
• W4312070884 cites W2994855290 @default.
• W4312070884 cites W3011547865 @default.
• W4312070884 cites W3034779438 @default.
• W4312070884 cites W3098779409 @default.
• W4312070884 cites W3106990721 @default.
• W4312070884 cites W3112375996 @default.
• W4312070884 cites W3129315061 @default.
• W4312070884 cites W3135925326 @default.
• W4312070884 cites W3140970613 @default.
• W4312070884 cites W3154575015 @default.
• W4312070884 cites W3169770376 @default.
• W4312070884 cites W3179308556 @default.
• W4312070884 cites W3191117306 @default.
• W4312070884 cites W3197106219 @default.
• W4312070884 cites W4206589716 @default.
• W4312070884 cites W4221037102 @default.
• W4312070884 cites W4292794770 @default.
• W4312070884 doi "https://doi.org/10.1117/1.jei.31.6.063051" @default.
• W4312070884 hasPublicationYear "2022" @default.
• W4312070884 type Work @default.
• W4312070884 citedByCount "0" @default.
• W4312070884 crossrefType "journal-article" @default.
• W4312070884 hasAuthorship W4312070884A5016581789 @default.
• W4312070884 hasAuthorship W4312070884A5055261387 @default.
• W4312070884 hasAuthorship W4312070884A5057289409 @default.
• W4312070884 hasAuthorship W4312070884A5057938596 @default.
• W4312070884 hasAuthorship W4312070884A5078740360 @default.
• W4312070884 hasAuthorship W4312070884A5079372376 @default.
• W4312070884 hasAuthorship W4312070884A5087249459 @default.
• W4312070884 hasConcept C106131492 @default.
• W4312070884 hasConcept C108583219 @default.
• W4312070884 hasConcept C115961682 @default.
• W4312070884 hasConcept C119599485 @default.
• W4312070884 hasConcept C127413603 @default.
• W4312070884 hasConcept C138885662 @default.
• W4312070884 hasConcept C141353440 @default.
• W4312070884 hasConcept C153180895 @default.
• W4312070884 hasConcept C154945302 @default.
• W4312070884 hasConcept C2776401178 @default.
• W4312070884 hasConcept C31972630 @default.
• W4312070884 hasConcept C41008148 @default.
• W4312070884 hasConcept C41895202 @default.
• W4312070884 hasConcept C45347329 @default.
• W4312070884 hasConcept C50644808 @default.
• W4312070884 hasConcept C81363708 @default.
• W4312070884 hasConceptScore W4312070884C106131492 @default.
• W4312070884 hasConceptScore W4312070884C108583219 @default.
• W4312070884 hasConceptScore W4312070884C115961682 @default.
• W4312070884 hasConceptScore W4312070884C119599485 @default.
• W4312070884 hasConceptScore W4312070884C127413603 @default.
• W4312070884 hasConceptScore W4312070884C138885662 @default.
• W4312070884 hasConceptScore W4312070884C141353440 @default.
• W4312070884 hasConceptScore W4312070884C153180895 @default.
• W4312070884 hasConceptScore W4312070884C154945302 @default.
• W4312070884 hasConceptScore W4312070884C2776401178 @default.
• W4312070884 hasConceptScore W4312070884C31972630 @default.
• W4312070884 hasConceptScore W4312070884C41008148 @default.
• W4312070884 hasConceptScore W4312070884C41895202 @default.
• W4312070884 hasConceptScore W4312070884C45347329 @default.
• W4312070884 hasConceptScore W4312070884C50644808 @default.

• next