Matches in SemOpenAlex for { <https://semopenalex.org/work/W2572938607> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W2572938607 abstract "Robust online visual tracking is a challenging task of the computer vision due to its violent variation within the video sequences. To approach these issues, deep networks have been applied in order to improve accuracy and correlation filter based trackers perform excellent efficiency and adaptation to scale. In this paper, we present a novel method with convolutional networks and correlation filter. A simple two-layer convolutional network is constructed to learn robust representations, which encode the inner geometric layout and local structural information, and the tracking framework resorts to learning discriminative correlation filters based on them. For our method satisfies both veracity and efficiency by finding a compromise between two theories, it performs favorably against several state-of-the-art methods with 50 public challenging videos." @default.
- W2572938607 created "2017-01-26" @default.
- W2572938607 creator A5005666034 @default.
- W2572938607 creator A5007067302 @default.
- W2572938607 creator A5060335470 @default.
- W2572938607 creator A5076335744 @default.
- W2572938607 creator A5082605318 @default.
- W2572938607 date "2016-11-01" @default.
- W2572938607 modified "2023-10-06" @default.
- W2572938607 title "Online visual tracking via correlation filter with convolutional networks" @default.
- W2572938607 cites W1956687234 @default.
- W2572938607 cites W1964846093 @default.
- W2572938607 cites W2089961441 @default.
- W2572938607 cites W2098941887 @default.
- W2572938607 cites W2109579504 @default.
- W2572938607 cites W2154889144 @default.
- W2572938607 cites W2168117308 @default.
- W2572938607 cites W2293873019 @default.
- W2572938607 doi "https://doi.org/10.1109/vcip.2016.7805476" @default.
- W2572938607 hasPublicationYear "2016" @default.
- W2572938607 type Work @default.
- W2572938607 sameAs 2572938607 @default.
- W2572938607 citedByCount "3" @default.
- W2572938607 countsByYear W25729386072019 @default.
- W2572938607 countsByYear W25729386072020 @default.
- W2572938607 crossrefType "proceedings-article" @default.
- W2572938607 hasAuthorship W2572938607A5005666034 @default.
- W2572938607 hasAuthorship W2572938607A5007067302 @default.
- W2572938607 hasAuthorship W2572938607A5060335470 @default.
- W2572938607 hasAuthorship W2572938607A5076335744 @default.
- W2572938607 hasAuthorship W2572938607A5082605318 @default.
- W2572938607 hasConcept C104317684 @default.
- W2572938607 hasConcept C106131492 @default.
- W2572938607 hasConcept C117220453 @default.
- W2572938607 hasConcept C153180895 @default.
- W2572938607 hasConcept C154945302 @default.
- W2572938607 hasConcept C15744967 @default.
- W2572938607 hasConcept C185592680 @default.
- W2572938607 hasConcept C19417346 @default.
- W2572938607 hasConcept C202474056 @default.
- W2572938607 hasConcept C2524010 @default.
- W2572938607 hasConcept C2775936607 @default.
- W2572938607 hasConcept C2781238097 @default.
- W2572938607 hasConcept C31972630 @default.
- W2572938607 hasConcept C33923547 @default.
- W2572938607 hasConcept C41008148 @default.
- W2572938607 hasConcept C55493867 @default.
- W2572938607 hasConcept C56461940 @default.
- W2572938607 hasConcept C57501372 @default.
- W2572938607 hasConcept C66746571 @default.
- W2572938607 hasConcept C81363708 @default.
- W2572938607 hasConcept C97931131 @default.
- W2572938607 hasConceptScore W2572938607C104317684 @default.
- W2572938607 hasConceptScore W2572938607C106131492 @default.
- W2572938607 hasConceptScore W2572938607C117220453 @default.
- W2572938607 hasConceptScore W2572938607C153180895 @default.
- W2572938607 hasConceptScore W2572938607C154945302 @default.
- W2572938607 hasConceptScore W2572938607C15744967 @default.
- W2572938607 hasConceptScore W2572938607C185592680 @default.
- W2572938607 hasConceptScore W2572938607C19417346 @default.
- W2572938607 hasConceptScore W2572938607C202474056 @default.
- W2572938607 hasConceptScore W2572938607C2524010 @default.
- W2572938607 hasConceptScore W2572938607C2775936607 @default.
- W2572938607 hasConceptScore W2572938607C2781238097 @default.
- W2572938607 hasConceptScore W2572938607C31972630 @default.
- W2572938607 hasConceptScore W2572938607C33923547 @default.
- W2572938607 hasConceptScore W2572938607C41008148 @default.
- W2572938607 hasConceptScore W2572938607C55493867 @default.
- W2572938607 hasConceptScore W2572938607C56461940 @default.
- W2572938607 hasConceptScore W2572938607C57501372 @default.
- W2572938607 hasConceptScore W2572938607C66746571 @default.
- W2572938607 hasConceptScore W2572938607C81363708 @default.
- W2572938607 hasConceptScore W2572938607C97931131 @default.
- W2572938607 hasLocation W25729386071 @default.
- W2572938607 hasOpenAccess W2572938607 @default.
- W2572938607 hasPrimaryLocation W25729386071 @default.
- W2572938607 hasRelatedWork W2086383524 @default.
- W2572938607 hasRelatedWork W2396101943 @default.
- W2572938607 hasRelatedWork W3036550512 @default.
- W2572938607 hasRelatedWork W3126660769 @default.
- W2572938607 hasRelatedWork W3187478796 @default.
- W2572938607 hasRelatedWork W4214506192 @default.
- W2572938607 hasRelatedWork W4282964059 @default.
- W2572938607 hasRelatedWork W4286251267 @default.
- W2572938607 hasRelatedWork W4313644475 @default.
- W2572938607 hasRelatedWork W3203946263 @default.
- W2572938607 isParatext "false" @default.
- W2572938607 isRetracted "false" @default.
- W2572938607 magId "2572938607" @default.
- W2572938607 workType "article" @default.