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文献信息
IET Computer Vision publishes original research papers in a wide range of areas of computer vision. The aim of the journal is to publish the highest-quality research that is relevant and topical to the field, but not forgetting those works that seek to introduce new horizons and set the agenda for future avenues of research in computer vision.
Computer VisionObject DetectionNeural NetsFace RecognitionObject TrackingVideo Signal ProcessingImage Colour AnalysisAction RecognitionFeature ExtractionVisual TrackingImage SegmentationConvolutional Neural NetworksConvolutional Neural NetworkImage RepresentationPose EstimationMedical Image ProcessingImage MatchingImage RecognitionNeural Net ArchitectureImage Sequences
vol.19 (2025)
vol.18 (2024)
vol.17 (2023)
vol.16 (2022)
vol.15 (2021)
vol.14 (2020)
vol.13 (2019)
vol.12 (2018)
vol.11 (2017)
vol.10 (2016)
vol.9 (2015)
vol.8 (2014)
vol.7 (2013)
vol.6 (2012)
vol.5 (2011)
vol.4 (2010)
vol.3 (2009)
vol.2 (2008)
vol.1 (2007)
REVIEW
ORIGINAL RESEARCH
MULTI-VIEW REPRESENTATION LEARNING FOR COMPUTER VISION