LGTrack: Exploiting Local and Global Properties for Robust Visual Tracking
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发表时间：2024-11-15
发表刊物：IEEE Transactions on Circuits and Systems for Video Technology
卷号：34
期号：9
页面范围：8161-8171
ISSN号：1051-8215
关键字：Circuits and systems; Computer architecture; Long-term tracking; Network architecture; Object detection; Object Tracking; Performance; Proposal; Re-detection; Stream; Targets tracking; Timing circuits; Transformer; Visual Tracking