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A visual prompt learning network for hyperspectral object tracking
DOI:10.1016/j.patrec.2025.05.006.png)
Abstract
En 中文
• We propose a framework to address data scarcity in hyperspectral tracking. • We introduce adapter-cue interaction for fast and stable model adaptation. • We achieve top performance on two hyperspectral tracking benchmarks.
Journal
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3.3
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7.8K
Citations:
1.6W
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