Matches in SemOpenAlex for { <https://semopenalex.org/work/W2607008612> ?p ?o ?g. }
- W2607008612 abstract "We state a combinatorial optimization problem whose feasible solutions define both a decomposition and a node labeling of a given graph. This problem offers a common mathematical abstraction of seemingly unrelated computer vision tasks, including instance-separating semantic segmentation, articulated human body pose estimation and multiple object tracking. Conceptually, it generalizes the unconstrained integer quadratic program and the minimum cost lifted multicut problem, both of which are NP-hard. In order to find feasible solutions efficiently, we define two local search algorithms that converge monotonously to a local optimum, offering a feasible solution at any time. To demonstrate the effectiveness of these algorithms in tackling computer vision tasks, we apply them to instances of the problem that we construct from published data, using published algorithms. We report state-of-the-art application-specific accuracy in the three above-mentioned applications." @default.
- W2607008612 created "2017-04-28" @default.
- W2607008612 creator A5022763293 @default.
- W2607008612 creator A5031820514 @default.
- W2607008612 creator A5034290170 @default.
- W2607008612 creator A5041203865 @default.
- W2607008612 creator A5051534545 @default.
- W2607008612 creator A5056265728 @default.
- W2607008612 creator A5070290355 @default.
- W2607008612 creator A5077676287 @default.
- W2607008612 creator A5087002212 @default.
- W2607008612 creator A5088792238 @default.
- W2607008612 date "2017-07-01" @default.
- W2607008612 modified "2023-09-27" @default.
- W2607008612 title "Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications" @default.
- W2607008612 cites W134300847 @default.
- W2607008612 cites W1531192956 @default.
- W2607008612 cites W1966136723 @default.
- W2607008612 cites W1971861370 @default.
- W2607008612 cites W2007352603 @default.
- W2607008612 cites W2016135469 @default.
- W2607008612 cites W2065540576 @default.
- W2607008612 cites W2080873731 @default.
- W2607008612 cites W2083049794 @default.
- W2607008612 cites W2147899407 @default.
- W2607008612 cites W2150066425 @default.
- W2607008612 cites W2161455936 @default.
- W2607008612 cites W2171243491 @default.
- W2607008612 cites W2175012183 @default.
- W2607008612 cites W2194775991 @default.
- W2607008612 cites W2216125271 @default.
- W2607008612 cites W2225887246 @default.
- W2607008612 cites W2237765446 @default.
- W2607008612 cites W2340897893 @default.
- W2607008612 cites W2465405228 @default.
- W2607008612 cites W260801291 @default.
- W2607008612 cites W2963659353 @default.
- W2607008612 cites W421393966 @default.
- W2607008612 cites W58063376 @default.
- W2607008612 doi "https://doi.org/10.1109/cvpr.2017.206" @default.
- W2607008612 hasPublicationYear "2017" @default.
- W2607008612 type Work @default.
- W2607008612 sameAs 2607008612 @default.
- W2607008612 citedByCount "95" @default.
- W2607008612 countsByYear W26070086122016 @default.
- W2607008612 countsByYear W26070086122017 @default.
- W2607008612 countsByYear W26070086122018 @default.
- W2607008612 countsByYear W26070086122019 @default.
- W2607008612 countsByYear W26070086122020 @default.
- W2607008612 countsByYear W26070086122021 @default.
- W2607008612 countsByYear W26070086122022 @default.
- W2607008612 countsByYear W26070086122023 @default.
- W2607008612 crossrefType "proceedings-article" @default.
- W2607008612 hasAuthorship W2607008612A5022763293 @default.
- W2607008612 hasAuthorship W2607008612A5031820514 @default.
- W2607008612 hasAuthorship W2607008612A5034290170 @default.
- W2607008612 hasAuthorship W2607008612A5041203865 @default.
- W2607008612 hasAuthorship W2607008612A5051534545 @default.
- W2607008612 hasAuthorship W2607008612A5056265728 @default.
- W2607008612 hasAuthorship W2607008612A5070290355 @default.
- W2607008612 hasAuthorship W2607008612A5077676287 @default.
- W2607008612 hasAuthorship W2607008612A5087002212 @default.
- W2607008612 hasAuthorship W2607008612A5088792238 @default.
- W2607008612 hasConcept C11413529 @default.
- W2607008612 hasConcept C124681953 @default.
- W2607008612 hasConcept C127413603 @default.
- W2607008612 hasConcept C132525143 @default.
- W2607008612 hasConcept C170154142 @default.
- W2607008612 hasConcept C178790620 @default.
- W2607008612 hasConcept C18555067 @default.
- W2607008612 hasConcept C185592680 @default.
- W2607008612 hasConcept C41008148 @default.
- W2607008612 hasConcept C62611344 @default.
- W2607008612 hasConcept C66938386 @default.
- W2607008612 hasConcept C80444323 @default.
- W2607008612 hasConceptScore W2607008612C11413529 @default.
- W2607008612 hasConceptScore W2607008612C124681953 @default.
- W2607008612 hasConceptScore W2607008612C127413603 @default.
- W2607008612 hasConceptScore W2607008612C132525143 @default.
- W2607008612 hasConceptScore W2607008612C170154142 @default.
- W2607008612 hasConceptScore W2607008612C178790620 @default.
- W2607008612 hasConceptScore W2607008612C18555067 @default.
- W2607008612 hasConceptScore W2607008612C185592680 @default.
- W2607008612 hasConceptScore W2607008612C41008148 @default.
- W2607008612 hasConceptScore W2607008612C62611344 @default.
- W2607008612 hasConceptScore W2607008612C66938386 @default.
- W2607008612 hasConceptScore W2607008612C80444323 @default.
- W2607008612 hasLocation W26070086121 @default.
- W2607008612 hasOpenAccess W2607008612 @default.
- W2607008612 hasPrimaryLocation W26070086121 @default.
- W2607008612 hasRelatedWork W2019457579 @default.
- W2607008612 hasRelatedWork W2030530201 @default.
- W2607008612 hasRelatedWork W2351267244 @default.
- W2607008612 hasRelatedWork W2383650581 @default.
- W2607008612 hasRelatedWork W2963121211 @default.
- W2607008612 hasRelatedWork W3011555937 @default.
- W2607008612 hasRelatedWork W303980170 @default.
- W2607008612 hasRelatedWork W3096054746 @default.
- W2607008612 hasRelatedWork W3133823961 @default.
- W2607008612 hasRelatedWork W3199858452 @default.