Matches in SemOpenAlex for { <https://semopenalex.org/work/W2787774169> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2787774169 abstract "Fine-grained action segmentation and recognition is an important yet challenging task. Given a long, untrimmed sequence of kinematic data, the task is to classify the action at each time frame and segment the time series into the correct sequence of actions. In this paper, we propose a novel framework that combines a temporal Conditional Random Field (CRF) model with a powerful frame-level representation based on discriminative sparse coding. We introduce an end-to-end algorithm for jointly learning the weights of the CRF model, which include action classification and action transition costs, as well as an overcomplete dictionary of mid-level action primitives. This results in a CRF model that is driven by sparse coding features obtained using a discriminative dictionary that is shared among different actions and adapted to the task of structured output learning. We evaluate our method on three surgical tasks using kinematic data from the JIGSAWS dataset, as well as on a food preparation task using accelerometer data from the 50 Salads dataset. Our results show that the proposed method performs on par or better than state-of-the-art methods." @default.
- W2787774169 created "2018-02-23" @default.
- W2787774169 creator A5011256828 @default.
- W2787774169 creator A5016004907 @default.
- W2787774169 creator A5020202833 @default.
- W2787774169 creator A5039643101 @default.
- W2787774169 creator A5046800804 @default.
- W2787774169 date "2018-01-29" @default.
- W2787774169 modified "2023-10-09" @default.
- W2787774169 title "End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding" @default.
- W2787774169 cites W1652450286 @default.
- W2787774169 cites W1983845824 @default.
- W2787774169 cites W2024562532 @default.
- W2787774169 cites W2029294400 @default.
- W2787774169 cites W2031248101 @default.
- W2787774169 cites W2084716923 @default.
- W2787774169 cites W2090042335 @default.
- W2787774169 cites W2099614498 @default.
- W2787774169 cites W2104371740 @default.
- W2787774169 cites W2109698606 @default.
- W2787774169 cites W2112447569 @default.
- W2787774169 cites W2131042978 @default.
- W2787774169 cites W2160547390 @default.
- W2787774169 cites W2163112044 @default.
- W2787774169 cites W2184852195 @default.
- W2787774169 cites W2315287060 @default.
- W2787774169 cites W2342437993 @default.
- W2787774169 cites W2463824207 @default.
- W2787774169 cites W2474091161 @default.
- W2787774169 cites W2568518337 @default.
- W2787774169 cites W2600081845 @default.
- W2787774169 cites W2601271987 @default.
- W2787774169 cites W2950830417 @default.
- W2787774169 cites W2952349270 @default.
- W2787774169 cites W2952505264 @default.
- W2787774169 cites W2953139536 @default.
- W2787774169 cites W32681088 @default.
- W2787774169 hasPublicationYear "2018" @default.
- W2787774169 type Work @default.
- W2787774169 sameAs 2787774169 @default.
- W2787774169 citedByCount "1" @default.
- W2787774169 countsByYear W27877741692018 @default.
- W2787774169 crossrefType "posted-content" @default.
- W2787774169 hasAuthorship W2787774169A5011256828 @default.
- W2787774169 hasAuthorship W2787774169A5016004907 @default.
- W2787774169 hasAuthorship W2787774169A5020202833 @default.
- W2787774169 hasAuthorship W2787774169A5039643101 @default.
- W2787774169 hasAuthorship W2787774169A5046800804 @default.
- W2787774169 hasConcept C105795698 @default.
- W2787774169 hasConcept C119857082 @default.
- W2787774169 hasConcept C124066611 @default.
- W2787774169 hasConcept C152565575 @default.
- W2787774169 hasConcept C153180895 @default.
- W2787774169 hasConcept C154945302 @default.
- W2787774169 hasConcept C179518139 @default.
- W2787774169 hasConcept C33923547 @default.
- W2787774169 hasConcept C41008148 @default.
- W2787774169 hasConcept C77637269 @default.
- W2787774169 hasConcept C89600930 @default.
- W2787774169 hasConcept C97931131 @default.
- W2787774169 hasConceptScore W2787774169C105795698 @default.
- W2787774169 hasConceptScore W2787774169C119857082 @default.
- W2787774169 hasConceptScore W2787774169C124066611 @default.
- W2787774169 hasConceptScore W2787774169C152565575 @default.
- W2787774169 hasConceptScore W2787774169C153180895 @default.
- W2787774169 hasConceptScore W2787774169C154945302 @default.
- W2787774169 hasConceptScore W2787774169C179518139 @default.
- W2787774169 hasConceptScore W2787774169C33923547 @default.
- W2787774169 hasConceptScore W2787774169C41008148 @default.
- W2787774169 hasConceptScore W2787774169C77637269 @default.
- W2787774169 hasConceptScore W2787774169C89600930 @default.
- W2787774169 hasConceptScore W2787774169C97931131 @default.
- W2787774169 hasOpenAccess W2787774169 @default.
- W2787774169 hasRelatedWork W1863225007 @default.
- W2787774169 hasRelatedWork W1964331789 @default.
- W2787774169 hasRelatedWork W1970732218 @default.
- W2787774169 hasRelatedWork W1988939331 @default.
- W2787774169 hasRelatedWork W1997765845 @default.
- W2787774169 hasRelatedWork W2016467840 @default.
- W2787774169 hasRelatedWork W2060389255 @default.
- W2787774169 hasRelatedWork W2133858838 @default.
- W2787774169 hasRelatedWork W2166286142 @default.
- W2787774169 hasRelatedWork W2294271935 @default.
- W2787774169 hasRelatedWork W2342650642 @default.
- W2787774169 hasRelatedWork W2398121327 @default.
- W2787774169 hasRelatedWork W2606535555 @default.
- W2787774169 hasRelatedWork W2747641578 @default.
- W2787774169 hasRelatedWork W2768591600 @default.
- W2787774169 hasRelatedWork W2775942774 @default.
- W2787774169 hasRelatedWork W2777577428 @default.
- W2787774169 hasRelatedWork W2832935377 @default.
- W2787774169 hasRelatedWork W2964273387 @default.
- W2787774169 hasRelatedWork W3047604502 @default.
- W2787774169 isParatext "false" @default.
- W2787774169 isRetracted "false" @default.
- W2787774169 magId "2787774169" @default.
- W2787774169 workType "article" @default.