Matches in SemOpenAlex for { <https://semopenalex.org/work/W2939776820> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W2939776820 abstract "Counting people or objects with significantly varying scales and densities has attracted much interest from the research community and yet it remains an open problem. In this paper, we propose a simple but an efficient and effective network, named DENet, which is composed of two components, i.e., a detection network (DNet) and an encoder-decoder estimation network (ENet). We first run DNet on an input image to detect and count individuals who can be segmented clearly. Then, ENet is utilized to estimate the density maps of the remaining areas, where the numbers of individuals cannot be detected. We propose a modified Xception as an encoder for feature extraction and a combination of dilated convolution and transposed convolution as a decoder. In the ShanghaiTech Part A, UCF and WorldExpo'10 datasets, our DENet achieves lower Mean Absolute Error (MAE) than those of the state-of-the-art methods." @default.
- W2939776820 created "2019-04-25" @default.
- W2939776820 creator A5006921134 @default.
- W2939776820 creator A5020147975 @default.
- W2939776820 creator A5034360750 @default.
- W2939776820 creator A5048751740 @default.
- W2939776820 creator A5073680688 @default.
- W2939776820 creator A5079667048 @default.
- W2939776820 date "2019-04-16" @default.
- W2939776820 modified "2023-09-24" @default.
- W2939776820 title "DENet: A Universal Network for Counting Crowd with Varying Densities and Scales" @default.
- W2939776820 cites W1536680647 @default.
- W2939776820 cites W1686810756 @default.
- W2939776820 cites W1910776219 @default.
- W2939776820 cites W2072232009 @default.
- W2939776820 cites W2123175289 @default.
- W2939776820 cites W2124386111 @default.
- W2939776820 cites W2161969291 @default.
- W2939776820 cites W2321408197 @default.
- W2939776820 cites W2463631526 @default.
- W2939776820 cites W2519281173 @default.
- W2939776820 cites W2531409750 @default.
- W2939776820 cites W2541389513 @default.
- W2939776820 cites W2586716774 @default.
- W2939776820 cites W2796347433 @default.
- W2939776820 cites W2895051362 @default.
- W2939776820 cites W2899771611 @default.
- W2939776820 cites W2949162858 @default.
- W2939776820 cites W2963035940 @default.
- W2939776820 cites W2963150697 @default.
- W2939776820 cites W2963840672 @default.
- W2939776820 cites W2964203052 @default.
- W2939776820 cites W2964209782 @default.
- W2939776820 cites W3097096317 @default.
- W2939776820 cites W3106250896 @default.
- W2939776820 doi "https://doi.org/10.48550/arxiv.1904.08056" @default.
- W2939776820 hasPublicationYear "2019" @default.
- W2939776820 type Work @default.
- W2939776820 sameAs 2939776820 @default.
- W2939776820 citedByCount "1" @default.
- W2939776820 countsByYear W29397768202019 @default.
- W2939776820 crossrefType "posted-content" @default.
- W2939776820 hasAuthorship W2939776820A5006921134 @default.
- W2939776820 hasAuthorship W2939776820A5020147975 @default.
- W2939776820 hasAuthorship W2939776820A5034360750 @default.
- W2939776820 hasAuthorship W2939776820A5048751740 @default.
- W2939776820 hasAuthorship W2939776820A5073680688 @default.
- W2939776820 hasAuthorship W2939776820A5079667048 @default.
- W2939776820 hasBestOaLocation W29397768201 @default.
- W2939776820 hasConcept C111919701 @default.
- W2939776820 hasConcept C115961682 @default.
- W2939776820 hasConcept C118505674 @default.
- W2939776820 hasConcept C138885662 @default.
- W2939776820 hasConcept C153180895 @default.
- W2939776820 hasConcept C154945302 @default.
- W2939776820 hasConcept C2776401178 @default.
- W2939776820 hasConcept C31972630 @default.
- W2939776820 hasConcept C41008148 @default.
- W2939776820 hasConcept C41895202 @default.
- W2939776820 hasConcept C45347329 @default.
- W2939776820 hasConcept C50644808 @default.
- W2939776820 hasConcept C52622490 @default.
- W2939776820 hasConceptScore W2939776820C111919701 @default.
- W2939776820 hasConceptScore W2939776820C115961682 @default.
- W2939776820 hasConceptScore W2939776820C118505674 @default.
- W2939776820 hasConceptScore W2939776820C138885662 @default.
- W2939776820 hasConceptScore W2939776820C153180895 @default.
- W2939776820 hasConceptScore W2939776820C154945302 @default.
- W2939776820 hasConceptScore W2939776820C2776401178 @default.
- W2939776820 hasConceptScore W2939776820C31972630 @default.
- W2939776820 hasConceptScore W2939776820C41008148 @default.
- W2939776820 hasConceptScore W2939776820C41895202 @default.
- W2939776820 hasConceptScore W2939776820C45347329 @default.
- W2939776820 hasConceptScore W2939776820C50644808 @default.
- W2939776820 hasConceptScore W2939776820C52622490 @default.
- W2939776820 hasLocation W29397768201 @default.
- W2939776820 hasLocation W29397768202 @default.
- W2939776820 hasLocation W29397768203 @default.
- W2939776820 hasOpenAccess W2939776820 @default.
- W2939776820 hasPrimaryLocation W29397768201 @default.
- W2939776820 hasRelatedWork W1504288058 @default.
- W2939776820 hasRelatedWork W1728708896 @default.
- W2939776820 hasRelatedWork W2016461833 @default.
- W2939776820 hasRelatedWork W2382607599 @default.
- W2939776820 hasRelatedWork W2534909612 @default.
- W2939776820 hasRelatedWork W2546942002 @default.
- W2939776820 hasRelatedWork W2929240682 @default.
- W2939776820 hasRelatedWork W3197541072 @default.
- W2939776820 hasRelatedWork W4220929574 @default.
- W2939776820 hasRelatedWork W4293731510 @default.
- W2939776820 isParatext "false" @default.
- W2939776820 isRetracted "false" @default.
- W2939776820 magId "2939776820" @default.
- W2939776820 workType "article" @default.