Matches in SemOpenAlex for { <https://semopenalex.org/work/W2233032359> ?p ?o ?g. }
- W2233032359 abstract "We present a multi-label material recognition framework.Object-specific DAGs are better to encode the correlations of material labels.Object recognition can provide semantic cue to enhance the material recognition. A real-world object surface often consists of multiple materials. Recognizing surface materials is important because it significantly benefits understanding the quality and functionality of the object. However, identifying multiple materials on a surface from a single photograph is very challenging because different materials are often interweaved together and hard to be segmented for separate identification. To address this problem, we present a multi-label learning framework for identifying multiple materials of a real-world object surface without a segmentation for each of them. We find that there are potential correlations between materials and that correlations are relevant to object category. For example, a surface of monitor likely consists of plastic and glasses rather than wood or stone. It motivates us to learn the correlations of material labels locally on each semantic object cluster. To this end, samples are semantically grouped according to their object categories. For each group of samples, we employ a Directed Acyclic Graph (DAG) to encode the conditional dependencies of material labels. These object-specific DAGs are then used for assisting the inference of surface materials. The key enabler of the proposed method is that the object recognition provides a semantic cue for material recognition by formulating an object-specific DAG learning. We test our method on the ALOT database and show consistent improvements over the state-of-the-arts." @default.
- W2233032359 created "2016-06-24" @default.
- W2233032359 creator A5018298892 @default.
- W2233032359 creator A5023071921 @default.
- W2233032359 creator A5082605318 @default.
- W2233032359 date "2016-02-01" @default.
- W2233032359 modified "2023-10-17" @default.
- W2233032359 title "Learning object-specific DAGs for multi-label material recognition" @default.
- W2233032359 cites W112175753 @default.
- W2233032359 cites W1484228140 @default.
- W2233032359 cites W1493706049 @default.
- W2233032359 cites W1572099491 @default.
- W2233032359 cites W1794919115 @default.
- W2233032359 cites W1998839399 @default.
- W2233032359 cites W2006516328 @default.
- W2233032359 cites W2023492421 @default.
- W2233032359 cites W2027266161 @default.
- W2233032359 cites W2052684427 @default.
- W2233032359 cites W2053463056 @default.
- W2233032359 cites W2066340877 @default.
- W2233032359 cites W2071527584 @default.
- W2233032359 cites W2075019799 @default.
- W2233032359 cites W2097128788 @default.
- W2233032359 cites W2098675406 @default.
- W2233032359 cites W2101909265 @default.
- W2233032359 cites W2102616341 @default.
- W2233032359 cites W2107034620 @default.
- W2233032359 cites W2114348396 @default.
- W2233032359 cites W2117858966 @default.
- W2233032359 cites W2119466907 @default.
- W2233032359 cites W2123217057 @default.
- W2233032359 cites W2124386111 @default.
- W2233032359 cites W2129026672 @default.
- W2233032359 cites W2138203286 @default.
- W2233032359 cites W2140188952 @default.
- W2233032359 cites W2149144514 @default.
- W2233032359 cites W2152548630 @default.
- W2233032359 cites W2152773182 @default.
- W2233032359 cites W2153635508 @default.
- W2233032359 cites W2153786187 @default.
- W2233032359 cites W2156935079 @default.
- W2233032359 cites W2162571797 @default.
- W2233032359 cites W2164039212 @default.
- W2233032359 cites W2166912588 @default.
- W2233032359 cites W2176228818 @default.
- W2233032359 cites W2200948049 @default.
- W2233032359 cites W254202083 @default.
- W2233032359 cites W3015464002 @default.
- W2233032359 doi "https://doi.org/10.1016/j.cviu.2015.11.018" @default.
- W2233032359 hasPublicationYear "2016" @default.
- W2233032359 type Work @default.
- W2233032359 sameAs 2233032359 @default.
- W2233032359 citedByCount "5" @default.
- W2233032359 countsByYear W22330323592016 @default.
- W2233032359 countsByYear W22330323592018 @default.
- W2233032359 countsByYear W22330323592021 @default.
- W2233032359 countsByYear W22330323592022 @default.
- W2233032359 crossrefType "journal-article" @default.
- W2233032359 hasAuthorship W2233032359A5018298892 @default.
- W2233032359 hasAuthorship W2233032359A5023071921 @default.
- W2233032359 hasAuthorship W2233032359A5082605318 @default.
- W2233032359 hasConcept C104317684 @default.
- W2233032359 hasConcept C11413529 @default.
- W2233032359 hasConcept C132525143 @default.
- W2233032359 hasConcept C153180895 @default.
- W2233032359 hasConcept C154945302 @default.
- W2233032359 hasConcept C185592680 @default.
- W2233032359 hasConcept C2776214188 @default.
- W2233032359 hasConcept C2781238097 @default.
- W2233032359 hasConcept C41008148 @default.
- W2233032359 hasConcept C55493867 @default.
- W2233032359 hasConcept C64876066 @default.
- W2233032359 hasConcept C66746571 @default.
- W2233032359 hasConcept C74197172 @default.
- W2233032359 hasConcept C80444323 @default.
- W2233032359 hasConcept C89600930 @default.
- W2233032359 hasConceptScore W2233032359C104317684 @default.
- W2233032359 hasConceptScore W2233032359C11413529 @default.
- W2233032359 hasConceptScore W2233032359C132525143 @default.
- W2233032359 hasConceptScore W2233032359C153180895 @default.
- W2233032359 hasConceptScore W2233032359C154945302 @default.
- W2233032359 hasConceptScore W2233032359C185592680 @default.
- W2233032359 hasConceptScore W2233032359C2776214188 @default.
- W2233032359 hasConceptScore W2233032359C2781238097 @default.
- W2233032359 hasConceptScore W2233032359C41008148 @default.
- W2233032359 hasConceptScore W2233032359C55493867 @default.
- W2233032359 hasConceptScore W2233032359C64876066 @default.
- W2233032359 hasConceptScore W2233032359C66746571 @default.
- W2233032359 hasConceptScore W2233032359C74197172 @default.
- W2233032359 hasConceptScore W2233032359C80444323 @default.
- W2233032359 hasConceptScore W2233032359C89600930 @default.
- W2233032359 hasFunder F4320321001 @default.
- W2233032359 hasLocation W22330323591 @default.
- W2233032359 hasOpenAccess W2233032359 @default.
- W2233032359 hasPrimaryLocation W22330323591 @default.
- W2233032359 hasRelatedWork W1544300176 @default.
- W2233032359 hasRelatedWork W1600345767 @default.
- W2233032359 hasRelatedWork W1827471978 @default.
- W2233032359 hasRelatedWork W1967458421 @default.
- W2233032359 hasRelatedWork W1968889059 @default.