Matches in SemOpenAlex for { <https://semopenalex.org/work/W2897717605> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W2897717605 endingPage "58063" @default.
- W2897717605 startingPage "58056" @default.
- W2897717605 abstract "In this paper, we propose a novel densely connected convolutional module (DCCM)-based convolutional neural network for human pose estimation, which can achieve higher parameter efficiency compared to the state-of-the-art works. Although existing methods for human pose estimation have achieved considerable accuracy, the number of required model parameters and computation complexity are relatively high. To solve this problem, we propose to use a DCCM as the basic unit of the neural network. For each layer of DCCM, feature maps that all preceding layers produce are concatenated as its input, and its own output feature maps are delivered to each subsequent layer. The experimental results on the MPII human pose data set and LSP data set show that our method can get comparable performance, while it requires less parameters, which means higher parameter efficiency can be achieved. Furthermore, we explore that how different configurations of the proposed network structure can affect the accuracy of human pose estimation." @default.
- W2897717605 created "2018-10-26" @default.
- W2897717605 creator A5027398178 @default.
- W2897717605 creator A5056362874 @default.
- W2897717605 creator A5086810635 @default.
- W2897717605 date "2018-01-01" @default.
- W2897717605 modified "2023-10-17" @default.
- W2897717605 title "A Parameter Efficient Human Pose Estimation Method Based on Densely Connected Convolutional Module" @default.
- W2897717605 cites W1936750108 @default.
- W2897717605 cites W2080873731 @default.
- W2897717605 cites W2097151019 @default.
- W2897717605 cites W2113325037 @default.
- W2897717605 cites W2117539524 @default.
- W2897717605 cites W2135533529 @default.
- W2897717605 cites W2175012183 @default.
- W2897717605 cites W2194775991 @default.
- W2897717605 cites W2613192286 @default.
- W2897717605 cites W2742737904 @default.
- W2897717605 cites W2802588423 @default.
- W2897717605 cites W2884050294 @default.
- W2897717605 cites W2963446712 @default.
- W2897717605 cites W2963448913 @default.
- W2897717605 cites W2963474899 @default.
- W2897717605 cites W2963484342 @default.
- W2897717605 cites W2964105113 @default.
- W2897717605 cites W2964304707 @default.
- W2897717605 doi "https://doi.org/10.1109/access.2018.2874307" @default.
- W2897717605 hasPublicationYear "2018" @default.
- W2897717605 type Work @default.
- W2897717605 sameAs 2897717605 @default.
- W2897717605 citedByCount "9" @default.
- W2897717605 countsByYear W28977176052019 @default.
- W2897717605 countsByYear W28977176052020 @default.
- W2897717605 countsByYear W28977176052021 @default.
- W2897717605 countsByYear W28977176052022 @default.
- W2897717605 countsByYear W28977176052023 @default.
- W2897717605 crossrefType "journal-article" @default.
- W2897717605 hasAuthorship W2897717605A5027398178 @default.
- W2897717605 hasAuthorship W2897717605A5056362874 @default.
- W2897717605 hasAuthorship W2897717605A5086810635 @default.
- W2897717605 hasBestOaLocation W28977176051 @default.
- W2897717605 hasConcept C11413529 @default.
- W2897717605 hasConcept C153180895 @default.
- W2897717605 hasConcept C154945302 @default.
- W2897717605 hasConcept C157899210 @default.
- W2897717605 hasConcept C31972630 @default.
- W2897717605 hasConcept C41008148 @default.
- W2897717605 hasConcept C52102323 @default.
- W2897717605 hasConcept C57273362 @default.
- W2897717605 hasConcept C81363708 @default.
- W2897717605 hasConceptScore W2897717605C11413529 @default.
- W2897717605 hasConceptScore W2897717605C153180895 @default.
- W2897717605 hasConceptScore W2897717605C154945302 @default.
- W2897717605 hasConceptScore W2897717605C157899210 @default.
- W2897717605 hasConceptScore W2897717605C31972630 @default.
- W2897717605 hasConceptScore W2897717605C41008148 @default.
- W2897717605 hasConceptScore W2897717605C52102323 @default.
- W2897717605 hasConceptScore W2897717605C57273362 @default.
- W2897717605 hasConceptScore W2897717605C81363708 @default.
- W2897717605 hasFunder F4320321001 @default.
- W2897717605 hasFunder F4320321543 @default.
- W2897717605 hasLocation W28977176051 @default.
- W2897717605 hasLocation W28977176052 @default.
- W2897717605 hasOpenAccess W2897717605 @default.
- W2897717605 hasPrimaryLocation W28977176051 @default.
- W2897717605 hasRelatedWork W166366606 @default.
- W2897717605 hasRelatedWork W1968716783 @default.
- W2897717605 hasRelatedWork W2567319754 @default.
- W2897717605 hasRelatedWork W2736638679 @default.
- W2897717605 hasRelatedWork W2963043350 @default.
- W2897717605 hasRelatedWork W3115178140 @default.
- W2897717605 hasRelatedWork W4282941460 @default.
- W2897717605 hasRelatedWork W4306804934 @default.
- W2897717605 hasRelatedWork W54333131 @default.
- W2897717605 hasRelatedWork W2086011200 @default.
- W2897717605 hasVolume "6" @default.
- W2897717605 isParatext "false" @default.
- W2897717605 isRetracted "false" @default.
- W2897717605 magId "2897717605" @default.
- W2897717605 workType "article" @default.