Matches in SemOpenAlex for { <https://semopenalex.org/work/W2896416928> ?p ?o ?g. }
- W2896416928 abstract "In this paper, we propose a Semantics-Preserving Teacher-Student (SPTS) model for group activity recognition in videos, which aims to mine the semantics-preserving attention to automatically seek the key people and discard the misleading people. Conventional methods usually aggregate the features extracted from individual persons by pooling operations, which cannot fully explore the contextual information for group activity recognition. To address this, our SPTS networks first learn a Teacher Network in semantic domain, which classifies the word of group activity based on the words of individual actions. Then we carefully design a Student Network in vision domain, which recognizes the group activity according to the input videos, and enforce the Student Network to mimic the Teacher Network during the learning process. In this way, we allocate semantics-preserving attention to different people, which adequately explores the contextual information of different people and requires no extra labelled data. Experimental results on two widely used benchmarks for group activity recognition clearly show the superior performance of our method in comparisons with the state-of-the-arts." @default.
- W2896416928 created "2018-10-26" @default.
- W2896416928 creator A5010357390 @default.
- W2896416928 creator A5019934281 @default.
- W2896416928 creator A5026250667 @default.
- W2896416928 creator A5074344655 @default.
- W2896416928 creator A5077076810 @default.
- W2896416928 creator A5090079801 @default.
- W2896416928 date "2018-10-15" @default.
- W2896416928 modified "2023-09-30" @default.
- W2896416928 title "Mining Semantics-Preserving Attention for Group Activity Recognition" @default.
- W2896416928 cites W100367037 @default.
- W2896416928 cites W1947746128 @default.
- W2896416928 cites W1983364832 @default.
- W2896416928 cites W1994488211 @default.
- W2896416928 cites W1997512392 @default.
- W2896416928 cites W2012557818 @default.
- W2896416928 cites W2047499569 @default.
- W2896416928 cites W2074326095 @default.
- W2896416928 cites W2081314772 @default.
- W2896416928 cites W2089597841 @default.
- W2896416928 cites W2117539524 @default.
- W2896416928 cites W2122710056 @default.
- W2896416928 cites W2126574503 @default.
- W2896416928 cites W2259801182 @default.
- W2896416928 cites W2472272718 @default.
- W2896416928 cites W2500506338 @default.
- W2896416928 cites W2524357132 @default.
- W2896416928 cites W2526041356 @default.
- W2896416928 cites W2527145521 @default.
- W2896416928 cites W2527524423 @default.
- W2896416928 cites W2530258459 @default.
- W2896416928 cites W2558630670 @default.
- W2896416928 cites W2589335264 @default.
- W2896416928 cites W2736442062 @default.
- W2896416928 cites W2739879705 @default.
- W2896416928 cites W2752912576 @default.
- W2896416928 cites W2765581107 @default.
- W2896416928 cites W2766969100 @default.
- W2896416928 cites W2776507577 @default.
- W2896416928 cites W2778252923 @default.
- W2896416928 cites W2798644314 @default.
- W2896416928 cites W2963377215 @default.
- W2896416928 cites W2963559058 @default.
- W2896416928 cites W2963907063 @default.
- W2896416928 cites W2963954913 @default.
- W2896416928 cites W2964298947 @default.
- W2896416928 cites W3123784868 @default.
- W2896416928 doi "https://doi.org/10.1145/3240508.3240576" @default.
- W2896416928 hasPublicationYear "2018" @default.
- W2896416928 type Work @default.
- W2896416928 sameAs 2896416928 @default.
- W2896416928 citedByCount "36" @default.
- W2896416928 countsByYear W28964169282019 @default.
- W2896416928 countsByYear W28964169282020 @default.
- W2896416928 countsByYear W28964169282021 @default.
- W2896416928 countsByYear W28964169282022 @default.
- W2896416928 countsByYear W28964169282023 @default.
- W2896416928 crossrefType "proceedings-article" @default.
- W2896416928 hasAuthorship W2896416928A5010357390 @default.
- W2896416928 hasAuthorship W2896416928A5019934281 @default.
- W2896416928 hasAuthorship W2896416928A5026250667 @default.
- W2896416928 hasAuthorship W2896416928A5074344655 @default.
- W2896416928 hasAuthorship W2896416928A5077076810 @default.
- W2896416928 hasAuthorship W2896416928A5090079801 @default.
- W2896416928 hasConcept C111919701 @default.
- W2896416928 hasConcept C119857082 @default.
- W2896416928 hasConcept C121687571 @default.
- W2896416928 hasConcept C134306372 @default.
- W2896416928 hasConcept C138885662 @default.
- W2896416928 hasConcept C154945302 @default.
- W2896416928 hasConcept C159985019 @default.
- W2896416928 hasConcept C184337299 @default.
- W2896416928 hasConcept C192562407 @default.
- W2896416928 hasConcept C199360897 @default.
- W2896416928 hasConcept C204321447 @default.
- W2896416928 hasConcept C26517878 @default.
- W2896416928 hasConcept C33923547 @default.
- W2896416928 hasConcept C36503486 @default.
- W2896416928 hasConcept C38652104 @default.
- W2896416928 hasConcept C41008148 @default.
- W2896416928 hasConcept C41895202 @default.
- W2896416928 hasConcept C4679612 @default.
- W2896416928 hasConcept C70437156 @default.
- W2896416928 hasConcept C90805587 @default.
- W2896416928 hasConcept C98045186 @default.
- W2896416928 hasConceptScore W2896416928C111919701 @default.
- W2896416928 hasConceptScore W2896416928C119857082 @default.
- W2896416928 hasConceptScore W2896416928C121687571 @default.
- W2896416928 hasConceptScore W2896416928C134306372 @default.
- W2896416928 hasConceptScore W2896416928C138885662 @default.
- W2896416928 hasConceptScore W2896416928C154945302 @default.
- W2896416928 hasConceptScore W2896416928C159985019 @default.
- W2896416928 hasConceptScore W2896416928C184337299 @default.
- W2896416928 hasConceptScore W2896416928C192562407 @default.
- W2896416928 hasConceptScore W2896416928C199360897 @default.
- W2896416928 hasConceptScore W2896416928C204321447 @default.
- W2896416928 hasConceptScore W2896416928C26517878 @default.
- W2896416928 hasConceptScore W2896416928C33923547 @default.
- W2896416928 hasConceptScore W2896416928C36503486 @default.