FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2962698265> ?p ?o ?g. }

• W2962698265 endingPage "137" @default.
• W2962698265 startingPage "128" @default.
• W2962698265 abstract "Current face or object detection methods via convolutional neural network (such as OverFeat, R-CNN and DenseNet) explicitly extract multi-scale features based on an image pyramid. However, such a strategy increases the computational burden for face detection. In this paper, we propose a fast face detection method based on discriminative complete features (DCFs) extracted by an elaborately designed convolutional neural network, where face detection is directly performed on the complete feature maps. DCFs have shown the ability of scale invariance, which is beneficial for face detection with high speed and promising performance. Therefore, extracting multi-scale features on an image pyramid employed in the conventional methods is not required in the proposed method, which can greatly improve its efficiency for face detection. Experimental results on several popular face detection datasets show the efficiency and the effectiveness of the proposed method for face detection." @default.
• W2962698265 created "2019-07-30" @default.
• W2962698265 creator A5039440440 @default.
• W2962698265 creator A5044594971 @default.
• W2962698265 creator A5048411184 @default.
• W2962698265 creator A5071671012 @default.
• W2962698265 creator A5077871846 @default.
• W2962698265 date "2020-06-01" @default.
• W2962698265 modified "2023-10-17" @default.
• W2962698265 title "A fast face detection method via convolutional neural network" @default.
• W2962698265 cites W1715013381 @default.
• W2962698265 cites W1965537826 @default.
• W2962698265 cites W2022508996 @default.
• W2962698265 cites W2026942141 @default.
• W2962698265 cites W2031489346 @default.
• W2962698265 cites W2044102457 @default.
• W2962698265 cites W2088049833 @default.
• W2962698265 cites W2096027770 @default.
• W2962698265 cites W2109255472 @default.
• W2962698265 cites W2112094394 @default.
• W2962698265 cites W2117539524 @default.
• W2962698265 cites W2145023731 @default.
• W2962698265 cites W2151103935 @default.
• W2962698265 cites W2162950292 @default.
• W2962698265 cites W2181886201 @default.
• W2962698265 cites W2183182206 @default.
• W2962698265 cites W2395611524 @default.
• W2962698265 cites W2409805034 @default.
• W2962698265 cites W2509818455 @default.
• W2962698265 cites W2588983561 @default.
• W2962698265 cites W2598559324 @default.
• W2962698265 cites W3097096317 @default.
• W2962698265 cites W3101998545 @default.
• W2962698265 cites W4238893454 @default.
• W2962698265 doi "https://doi.org/10.1016/j.neucom.2018.02.110" @default.
• W2962698265 hasPublicationYear "2020" @default.
• W2962698265 type Work @default.
• W2962698265 sameAs 2962698265 @default.
• W2962698265 citedByCount "34" @default.
• W2962698265 countsByYear W29626982652018 @default.
• W2962698265 countsByYear W29626982652019 @default.
• W2962698265 countsByYear W29626982652020 @default.
• W2962698265 countsByYear W29626982652021 @default.
• W2962698265 countsByYear W29626982652022 @default.
• W2962698265 countsByYear W29626982652023 @default.
• W2962698265 crossrefType "journal-article" @default.
• W2962698265 hasAuthorship W2962698265A5039440440 @default.
• W2962698265 hasAuthorship W2962698265A5044594971 @default.
• W2962698265 hasAuthorship W2962698265A5048411184 @default.
• W2962698265 hasAuthorship W2962698265A5071671012 @default.
• W2962698265 hasAuthorship W2962698265A5077871846 @default.
• W2962698265 hasBestOaLocation W29626982652 @default.
• W2962698265 hasConcept C115961682 @default.
• W2962698265 hasConcept C121332964 @default.
• W2962698265 hasConcept C138885662 @default.
• W2962698265 hasConcept C142575187 @default.
• W2962698265 hasConcept C144024400 @default.
• W2962698265 hasConcept C153180895 @default.
• W2962698265 hasConcept C154945302 @default.
• W2962698265 hasConcept C2524010 @default.
• W2962698265 hasConcept C2776151529 @default.
• W2962698265 hasConcept C2776401178 @default.
• W2962698265 hasConcept C2778755073 @default.
• W2962698265 hasConcept C2779304628 @default.
• W2962698265 hasConcept C31510193 @default.
• W2962698265 hasConcept C31972630 @default.
• W2962698265 hasConcept C33923547 @default.
• W2962698265 hasConcept C36289849 @default.
• W2962698265 hasConcept C41008148 @default.
• W2962698265 hasConcept C41895202 @default.
• W2962698265 hasConcept C4641261 @default.
• W2962698265 hasConcept C52622490 @default.
• W2962698265 hasConcept C62520636 @default.
• W2962698265 hasConcept C71681937 @default.
• W2962698265 hasConcept C81363708 @default.
• W2962698265 hasConcept C97931131 @default.
• W2962698265 hasConceptScore W2962698265C115961682 @default.
• W2962698265 hasConceptScore W2962698265C121332964 @default.
• W2962698265 hasConceptScore W2962698265C138885662 @default.
• W2962698265 hasConceptScore W2962698265C142575187 @default.
• W2962698265 hasConceptScore W2962698265C144024400 @default.
• W2962698265 hasConceptScore W2962698265C153180895 @default.
• W2962698265 hasConceptScore W2962698265C154945302 @default.
• W2962698265 hasConceptScore W2962698265C2524010 @default.
• W2962698265 hasConceptScore W2962698265C2776151529 @default.
• W2962698265 hasConceptScore W2962698265C2776401178 @default.
• W2962698265 hasConceptScore W2962698265C2778755073 @default.
• W2962698265 hasConceptScore W2962698265C2779304628 @default.
• W2962698265 hasConceptScore W2962698265C31510193 @default.
• W2962698265 hasConceptScore W2962698265C31972630 @default.
• W2962698265 hasConceptScore W2962698265C33923547 @default.
• W2962698265 hasConceptScore W2962698265C36289849 @default.
• W2962698265 hasConceptScore W2962698265C41008148 @default.
• W2962698265 hasConceptScore W2962698265C41895202 @default.
• W2962698265 hasConceptScore W2962698265C4641261 @default.
• W2962698265 hasConceptScore W2962698265C52622490 @default.
• W2962698265 hasConceptScore W2962698265C62520636 @default.
• W2962698265 hasConceptScore W2962698265C71681937 @default.

• next