Matches in SemOpenAlex for { <https://semopenalex.org/work/W2960398562> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2960398562 abstract "In this paper, unlike existing network architectures still containing elements designed by hand, our approach applies an end-to-end deep residual network for JPEG Images steganalysis which outperforms the state-of-art in terms of detection accuracy. Inspired by Yu et al.’s Deep Layer Aggregation, we introduce the structure to our architecture for better integrating residual features in the later layers in order to improve detection performance. Besides, we use residual blocks to utilize shortcut connections to help propagate gradients to upper layers and enhance the signal-to-noise ratio (between the stego signal and the image signal). Finally, downsample blocks are adopted to abstract the image features, reduce the size of feature map and enlarge the receptive fields. Extensive experimental results verify the feasibility of this method and show that the superior performance of the network in JPEG domain has been significantly improved. The network is better than other three methods such as SCA-GFR, XuNet, and PNet when it is used to detect two JPEG algorithms UED and J-UNIWARAD with a variety of datasets and payloads." @default.
- W2960398562 created "2019-07-23" @default.
- W2960398562 creator A5007154515 @default.
- W2960398562 creator A5028127027 @default.
- W2960398562 creator A5028407760 @default.
- W2960398562 date "2019-07-10" @default.
- W2960398562 modified "2023-09-24" @default.
- W2960398562 title "Deep Residual Network Based on Deep Layer Aggregation for JPEG Images Steganalysis" @default.
- W2960398562 cites W1955882805 @default.
- W2960398562 cites W1976570511 @default.
- W2960398562 cites W2170598445 @default.
- W2960398562 cites W2194775991 @default.
- W2960398562 cites W2322622188 @default.
- W2960398562 cites W2339370745 @default.
- W2960398562 cites W2545241995 @default.
- W2960398562 cites W2565257220 @default.
- W2960398562 cites W2579698629 @default.
- W2960398562 cites W2610979719 @default.
- W2960398562 cites W2735904389 @default.
- W2960398562 cites W2736148246 @default.
- W2960398562 cites W2963323244 @default.
- W2960398562 doi "https://doi.org/10.1007/978-981-13-9714-1_25" @default.
- W2960398562 hasPublicationYear "2019" @default.
- W2960398562 type Work @default.
- W2960398562 sameAs 2960398562 @default.
- W2960398562 citedByCount "0" @default.
- W2960398562 crossrefType "book-chapter" @default.
- W2960398562 hasAuthorship W2960398562A5007154515 @default.
- W2960398562 hasAuthorship W2960398562A5028127027 @default.
- W2960398562 hasAuthorship W2960398562A5028407760 @default.
- W2960398562 hasConcept C107368093 @default.
- W2960398562 hasConcept C108801101 @default.
- W2960398562 hasConcept C11413529 @default.
- W2960398562 hasConcept C115961682 @default.
- W2960398562 hasConcept C138885662 @default.
- W2960398562 hasConcept C153180895 @default.
- W2960398562 hasConcept C154945302 @default.
- W2960398562 hasConcept C155512373 @default.
- W2960398562 hasConcept C178790620 @default.
- W2960398562 hasConcept C185592680 @default.
- W2960398562 hasConcept C193415008 @default.
- W2960398562 hasConcept C198751489 @default.
- W2960398562 hasConcept C2776401178 @default.
- W2960398562 hasConcept C2779227376 @default.
- W2960398562 hasConcept C31258907 @default.
- W2960398562 hasConcept C31972630 @default.
- W2960398562 hasConcept C41008148 @default.
- W2960398562 hasConcept C41895202 @default.
- W2960398562 hasConceptScore W2960398562C107368093 @default.
- W2960398562 hasConceptScore W2960398562C108801101 @default.
- W2960398562 hasConceptScore W2960398562C11413529 @default.
- W2960398562 hasConceptScore W2960398562C115961682 @default.
- W2960398562 hasConceptScore W2960398562C138885662 @default.
- W2960398562 hasConceptScore W2960398562C153180895 @default.
- W2960398562 hasConceptScore W2960398562C154945302 @default.
- W2960398562 hasConceptScore W2960398562C155512373 @default.
- W2960398562 hasConceptScore W2960398562C178790620 @default.
- W2960398562 hasConceptScore W2960398562C185592680 @default.
- W2960398562 hasConceptScore W2960398562C193415008 @default.
- W2960398562 hasConceptScore W2960398562C198751489 @default.
- W2960398562 hasConceptScore W2960398562C2776401178 @default.
- W2960398562 hasConceptScore W2960398562C2779227376 @default.
- W2960398562 hasConceptScore W2960398562C31258907 @default.
- W2960398562 hasConceptScore W2960398562C31972630 @default.
- W2960398562 hasConceptScore W2960398562C41008148 @default.
- W2960398562 hasConceptScore W2960398562C41895202 @default.
- W2960398562 hasLocation W29603985621 @default.
- W2960398562 hasOpenAccess W2960398562 @default.
- W2960398562 hasPrimaryLocation W29603985621 @default.
- W2960398562 hasRelatedWork W11415338 @default.
- W2960398562 hasRelatedWork W11424074 @default.
- W2960398562 hasRelatedWork W13187899 @default.
- W2960398562 hasRelatedWork W14795403 @default.
- W2960398562 hasRelatedWork W2988963 @default.
- W2960398562 hasRelatedWork W3238102 @default.
- W2960398562 hasRelatedWork W65220 @default.
- W2960398562 hasRelatedWork W6526339 @default.
- W2960398562 hasRelatedWork W8340350 @default.
- W2960398562 hasRelatedWork W9958333 @default.
- W2960398562 isParatext "false" @default.
- W2960398562 isRetracted "false" @default.
- W2960398562 magId "2960398562" @default.
- W2960398562 workType "book-chapter" @default.