Matches in SemOpenAlex for { <https://semopenalex.org/work/W1970819022> ?p ?o ?g. }
- W1970819022 endingPage "1846" @default.
- W1970819022 startingPage "1829" @default.
- W1970819022 abstract "A fundamental operation in many vision tasks, including motion understanding, stereopsis, visual odometry, or invariant recognition, is establishing correspondences between images or between images and data from other modalities. Recently, there has been increasing interest in learning to infer correspondences from data using relational, spatiotemporal, and bilinear variants of deep learning methods. These methods use multiplicative interactions between pixels or between features to represent correlation patterns across multiple images. In this paper, we review the recent work on relational feature learning, and we provide an analysis of the role that multiplicative interactions play in learning to encode relations. We also discuss how square-pooling and complex cell models can be viewed as a way to represent multiplicative interactions and thereby as a way to encode relations." @default.
- W1970819022 created "2016-06-24" @default.
- W1970819022 creator A5030440955 @default.
- W1970819022 date "2013-08-01" @default.
- W1970819022 modified "2023-10-14" @default.
- W1970819022 title "Learning to Relate Images" @default.
- W1970819022 cites W1515489022 @default.
- W1970819022 cites W1526844937 @default.
- W1970819022 cites W1964291102 @default.
- W1970819022 cites W1971735090 @default.
- W1970819022 cites W1972031190 @default.
- W1970819022 cites W1983334819 @default.
- W1970819022 cites W1989940876 @default.
- W1970819022 cites W1990980378 @default.
- W1970819022 cites W1999192586 @default.
- W1970819022 cites W2007726935 @default.
- W1970819022 cites W2013494846 @default.
- W1970819022 cites W2020315425 @default.
- W1970819022 cites W2025768430 @default.
- W1970819022 cites W2033819227 @default.
- W1970819022 cites W2034792058 @default.
- W1970819022 cites W2036968376 @default.
- W1970819022 cites W2040353450 @default.
- W1970819022 cites W2042900296 @default.
- W1970819022 cites W2063971957 @default.
- W1970819022 cites W2068777106 @default.
- W1970819022 cites W2075649259 @default.
- W1970819022 cites W2098207052 @default.
- W1970819022 cites W2102713649 @default.
- W1970819022 cites W2106763960 @default.
- W1970819022 cites W2108992228 @default.
- W1970819022 cites W2115096495 @default.
- W1970819022 cites W2116064496 @default.
- W1970819022 cites W2120190345 @default.
- W1970819022 cites W2124486835 @default.
- W1970819022 cites W2131689618 @default.
- W1970819022 cites W2136163184 @default.
- W1970819022 cites W2136922672 @default.
- W1970819022 cites W2145889472 @default.
- W1970819022 cites W2151677089 @default.
- W1970819022 cites W2154071538 @default.
- W1970819022 cites W2170653751 @default.
- W1970819022 cites W2177274842 @default.
- W1970819022 cites W4206196235 @default.
- W1970819022 doi "https://doi.org/10.1109/tpami.2013.53" @default.
- W1970819022 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23787339" @default.
- W1970819022 hasPublicationYear "2013" @default.
- W1970819022 type Work @default.
- W1970819022 sameAs 1970819022 @default.
- W1970819022 citedByCount "89" @default.
- W1970819022 countsByYear W19708190222014 @default.
- W1970819022 countsByYear W19708190222015 @default.
- W1970819022 countsByYear W19708190222016 @default.
- W1970819022 countsByYear W19708190222017 @default.
- W1970819022 countsByYear W19708190222018 @default.
- W1970819022 countsByYear W19708190222019 @default.
- W1970819022 countsByYear W19708190222020 @default.
- W1970819022 countsByYear W19708190222021 @default.
- W1970819022 countsByYear W19708190222022 @default.
- W1970819022 crossrefType "journal-article" @default.
- W1970819022 hasAuthorship W1970819022A5030440955 @default.
- W1970819022 hasConcept C104317684 @default.
- W1970819022 hasConcept C108583219 @default.
- W1970819022 hasConcept C119857082 @default.
- W1970819022 hasConcept C134306372 @default.
- W1970819022 hasConcept C138885662 @default.
- W1970819022 hasConcept C144024400 @default.
- W1970819022 hasConcept C153180895 @default.
- W1970819022 hasConcept C154945302 @default.
- W1970819022 hasConcept C185592680 @default.
- W1970819022 hasConcept C205203396 @default.
- W1970819022 hasConcept C2776401178 @default.
- W1970819022 hasConcept C2779903281 @default.
- W1970819022 hasConcept C31972630 @default.
- W1970819022 hasConcept C33923547 @default.
- W1970819022 hasConcept C36289849 @default.
- W1970819022 hasConcept C41008148 @default.
- W1970819022 hasConcept C41895202 @default.
- W1970819022 hasConcept C42747912 @default.
- W1970819022 hasConcept C55493867 @default.
- W1970819022 hasConcept C66746571 @default.
- W1970819022 hasConcept C70437156 @default.
- W1970819022 hasConceptScore W1970819022C104317684 @default.
- W1970819022 hasConceptScore W1970819022C108583219 @default.
- W1970819022 hasConceptScore W1970819022C119857082 @default.
- W1970819022 hasConceptScore W1970819022C134306372 @default.
- W1970819022 hasConceptScore W1970819022C138885662 @default.
- W1970819022 hasConceptScore W1970819022C144024400 @default.
- W1970819022 hasConceptScore W1970819022C153180895 @default.
- W1970819022 hasConceptScore W1970819022C154945302 @default.
- W1970819022 hasConceptScore W1970819022C185592680 @default.
- W1970819022 hasConceptScore W1970819022C205203396 @default.
- W1970819022 hasConceptScore W1970819022C2776401178 @default.
- W1970819022 hasConceptScore W1970819022C2779903281 @default.
- W1970819022 hasConceptScore W1970819022C31972630 @default.
- W1970819022 hasConceptScore W1970819022C33923547 @default.
- W1970819022 hasConceptScore W1970819022C36289849 @default.
- W1970819022 hasConceptScore W1970819022C41008148 @default.