Matches in SemOpenAlex for { <https://semopenalex.org/work/W2142056594> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W2142056594 abstract "It is very attractive to exploit weakly-labeled image dataset for multi-label annotation applications. In our paper the meaning of the terminology weakly labeled is threefold: i) only a small subset of the available images are labeled; ii) even for the labeled image, the given labels may be uncorrect or incomplete; iii) the given labels do not provide the exact object locations in the images. A novel method is developed to predict the multiple labels for images and to provide region-level labels for the objects. We cluster the image regions to learn several region-exemplars and predict the label vector for each image region as a locally weighted average of the label vectors on exemplars. By investigating the label confidence matrix for the region-exemplars from different perspectives (column picture and row picture), we sufficiently leverage the visual contexts, the semantic contexts, and the consistency between similarities in the visual feature space and semantic label space. Experimental results on real web images demonstrate the effectiveness of the proposed method." @default.
- W2142056594 created "2016-06-24" @default.
- W2142056594 creator A5003418019 @default.
- W2142056594 creator A5009602062 @default.
- W2142056594 creator A5019972814 @default.
- W2142056594 creator A5063145868 @default.
- W2142056594 date "2011-11-28" @default.
- W2142056594 modified "2023-09-27" @default.
- W2142056594 title "Automatic image annotation with weakly labeled dataset" @default.
- W2142056594 cites W1484228140 @default.
- W2142056594 cites W1592096085 @default.
- W2142056594 cites W1877469910 @default.
- W2142056594 cites W1964810009 @default.
- W2142056594 cites W1988871282 @default.
- W2142056594 cites W1999478155 @default.
- W2142056594 cites W2007972815 @default.
- W2142056594 cites W2038967169 @default.
- W2142056594 cites W2070959357 @default.
- W2142056594 cites W2076752034 @default.
- W2142056594 cites W2161343988 @default.
- W2142056594 cites W2165897980 @default.
- W2142056594 doi "https://doi.org/10.1145/2072298.2071970" @default.
- W2142056594 hasPublicationYear "2011" @default.
- W2142056594 type Work @default.
- W2142056594 sameAs 2142056594 @default.
- W2142056594 citedByCount "5" @default.
- W2142056594 countsByYear W21420565942012 @default.
- W2142056594 countsByYear W21420565942014 @default.
- W2142056594 countsByYear W21420565942015 @default.
- W2142056594 countsByYear W21420565942018 @default.
- W2142056594 countsByYear W21420565942021 @default.
- W2142056594 crossrefType "proceedings-article" @default.
- W2142056594 hasAuthorship W2142056594A5003418019 @default.
- W2142056594 hasAuthorship W2142056594A5009602062 @default.
- W2142056594 hasAuthorship W2142056594A5019972814 @default.
- W2142056594 hasAuthorship W2142056594A5063145868 @default.
- W2142056594 hasBestOaLocation W21420565942 @default.
- W2142056594 hasConcept C115961682 @default.
- W2142056594 hasConcept C138885662 @default.
- W2142056594 hasConcept C153083717 @default.
- W2142056594 hasConcept C153180895 @default.
- W2142056594 hasConcept C154945302 @default.
- W2142056594 hasConcept C1667742 @default.
- W2142056594 hasConcept C199579030 @default.
- W2142056594 hasConcept C2776321320 @default.
- W2142056594 hasConcept C2776401178 @default.
- W2142056594 hasConcept C2776436953 @default.
- W2142056594 hasConcept C41008148 @default.
- W2142056594 hasConcept C41895202 @default.
- W2142056594 hasConcept C83665646 @default.
- W2142056594 hasConceptScore W2142056594C115961682 @default.
- W2142056594 hasConceptScore W2142056594C138885662 @default.
- W2142056594 hasConceptScore W2142056594C153083717 @default.
- W2142056594 hasConceptScore W2142056594C153180895 @default.
- W2142056594 hasConceptScore W2142056594C154945302 @default.
- W2142056594 hasConceptScore W2142056594C1667742 @default.
- W2142056594 hasConceptScore W2142056594C199579030 @default.
- W2142056594 hasConceptScore W2142056594C2776321320 @default.
- W2142056594 hasConceptScore W2142056594C2776401178 @default.
- W2142056594 hasConceptScore W2142056594C2776436953 @default.
- W2142056594 hasConceptScore W2142056594C41008148 @default.
- W2142056594 hasConceptScore W2142056594C41895202 @default.
- W2142056594 hasConceptScore W2142056594C83665646 @default.
- W2142056594 hasLocation W21420565941 @default.
- W2142056594 hasLocation W21420565942 @default.
- W2142056594 hasOpenAccess W2142056594 @default.
- W2142056594 hasPrimaryLocation W21420565941 @default.
- W2142056594 hasRelatedWork W1516905859 @default.
- W2142056594 hasRelatedWork W2130376186 @default.
- W2142056594 hasRelatedWork W2387268739 @default.
- W2142056594 hasRelatedWork W2422208935 @default.
- W2142056594 hasRelatedWork W2540996540 @default.
- W2142056594 hasRelatedWork W2902681161 @default.
- W2142056594 hasRelatedWork W3080917496 @default.
- W2142056594 hasRelatedWork W3197541072 @default.
- W2142056594 hasRelatedWork W4210419990 @default.
- W2142056594 hasRelatedWork W4220875956 @default.
- W2142056594 isParatext "false" @default.
- W2142056594 isRetracted "false" @default.
- W2142056594 magId "2142056594" @default.
- W2142056594 workType "article" @default.