Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384201435> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W4384201435 endingPage "466" @default.
- W4384201435 startingPage "466" @default.
- W4384201435 abstract "Unmanned aerial vehicle (UAV) based object detection plays a pivotal role in civil and military fields. Unfortunately, the problem is more challenging than general visual object detection due to the significant appearance deterioration in images captured by drones. Considering that video contains more abundant visual features and motion information, a better idea for UAV based image object detection is to enhance target appearance in reference frame by aggregating the features in neighboring frames. However, simple feature aggregation methods will frequently introduce the interference of background into targets. To solve this problem, we proposed a more effective module, termed Temporal Attention Gated Recurrent Unit (TA-GRU), to extract effective temporal information based on recurrent neural networks and transformers. TA-GRU works as an add-on module to bring existing static object detectors to high performance video object detectors, with negligible extra computational cost. To validate the efficacy of our module, we selected YOLOv7 as baseline and carried out comprehensive experiments on the VisDrone2019-VID dataset. Our TA-GRU empowered YOLOv7 to not only boost the detection accuracy by 5.86% in the mean average precision (mAP) on the challenging VisDrone dataset, but also to reach a running speed of 24 frames per second (fps)." @default.
- W4384201435 created "2023-07-14" @default.
- W4384201435 creator A5009465128 @default.
- W4384201435 creator A5027153506 @default.
- W4384201435 creator A5060717892 @default.
- W4384201435 date "2023-07-12" @default.
- W4384201435 modified "2023-10-17" @default.
- W4384201435 title "Object Detection in Drone Video with Temporal Attention Gated Recurrent Unit Based on Transformer" @default.
- W4384201435 cites W1536680647 @default.
- W4384201435 cites W2102605133 @default.
- W4384201435 cites W2565639579 @default.
- W4384201435 cites W2601564443 @default.
- W4384201435 cites W2780608998 @default.
- W4384201435 cites W2793130599 @default.
- W4384201435 cites W2962855257 @default.
- W4384201435 cites W2963351448 @default.
- W4384201435 cites W2963653352 @default.
- W4384201435 cites W2964086649 @default.
- W4384201435 cites W2964286567 @default.
- W4384201435 cites W2995484963 @default.
- W4384201435 cites W3012573144 @default.
- W4384201435 cites W3100591638 @default.
- W4384201435 cites W3106250896 @default.
- W4384201435 cites W3115482146 @default.
- W4384201435 cites W3138516171 @default.
- W4384201435 cites W3210586215 @default.
- W4384201435 cites W4221166276 @default.
- W4384201435 cites W4382469019 @default.
- W4384201435 cites W639708223 @default.
- W4384201435 cites W764651262 @default.
- W4384201435 doi "https://doi.org/10.3390/drones7070466" @default.
- W4384201435 hasPublicationYear "2023" @default.
- W4384201435 type Work @default.
- W4384201435 citedByCount "0" @default.
- W4384201435 crossrefType "journal-article" @default.
- W4384201435 hasAuthorship W4384201435A5009465128 @default.
- W4384201435 hasAuthorship W4384201435A5027153506 @default.
- W4384201435 hasAuthorship W4384201435A5060717892 @default.
- W4384201435 hasBestOaLocation W43842014351 @default.
- W4384201435 hasConcept C119599485 @default.
- W4384201435 hasConcept C127413603 @default.
- W4384201435 hasConcept C153180895 @default.
- W4384201435 hasConcept C154945302 @default.
- W4384201435 hasConcept C165801399 @default.
- W4384201435 hasConcept C2776151529 @default.
- W4384201435 hasConcept C2781238097 @default.
- W4384201435 hasConcept C31972630 @default.
- W4384201435 hasConcept C3261483 @default.
- W4384201435 hasConcept C41008148 @default.
- W4384201435 hasConcept C54355233 @default.
- W4384201435 hasConcept C59519942 @default.
- W4384201435 hasConcept C66322947 @default.
- W4384201435 hasConcept C76155785 @default.
- W4384201435 hasConcept C86803240 @default.
- W4384201435 hasConcept C94915269 @default.
- W4384201435 hasConceptScore W4384201435C119599485 @default.
- W4384201435 hasConceptScore W4384201435C127413603 @default.
- W4384201435 hasConceptScore W4384201435C153180895 @default.
- W4384201435 hasConceptScore W4384201435C154945302 @default.
- W4384201435 hasConceptScore W4384201435C165801399 @default.
- W4384201435 hasConceptScore W4384201435C2776151529 @default.
- W4384201435 hasConceptScore W4384201435C2781238097 @default.
- W4384201435 hasConceptScore W4384201435C31972630 @default.
- W4384201435 hasConceptScore W4384201435C3261483 @default.
- W4384201435 hasConceptScore W4384201435C41008148 @default.
- W4384201435 hasConceptScore W4384201435C54355233 @default.
- W4384201435 hasConceptScore W4384201435C59519942 @default.
- W4384201435 hasConceptScore W4384201435C66322947 @default.
- W4384201435 hasConceptScore W4384201435C76155785 @default.
- W4384201435 hasConceptScore W4384201435C86803240 @default.
- W4384201435 hasConceptScore W4384201435C94915269 @default.
- W4384201435 hasIssue "7" @default.
- W4384201435 hasLocation W43842014351 @default.
- W4384201435 hasOpenAccess W4384201435 @default.
- W4384201435 hasPrimaryLocation W43842014351 @default.
- W4384201435 hasRelatedWork W1971759388 @default.
- W4384201435 hasRelatedWork W2004370856 @default.
- W4384201435 hasRelatedWork W2007544051 @default.
- W4384201435 hasRelatedWork W2021186063 @default.
- W4384201435 hasRelatedWork W2025800131 @default.
- W4384201435 hasRelatedWork W2035456249 @default.
- W4384201435 hasRelatedWork W2095705906 @default.
- W4384201435 hasRelatedWork W2129974284 @default.
- W4384201435 hasRelatedWork W2922421953 @default.
- W4384201435 hasRelatedWork W2975200075 @default.
- W4384201435 hasVolume "7" @default.
- W4384201435 isParatext "false" @default.
- W4384201435 isRetracted "false" @default.
- W4384201435 workType "article" @default.