LasHeR : A Large-Scale High-Diversity Benchmark for RGBT Tracking
RGBT tracking receives a surge of interest in the computer vision community, but this research field lacks a large-scale and high-diversity benchmark dataset, which is essential for both the training of deep RGBT trackers and the comprehensive evaluation of RGBT tracking methods. To this end, we pre...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 15., Seite 392-404
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| 1. Verfasser: |
Li, Chenglong
(VerfasserIn) |
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| Weitere Verfasser: |
Xue, Wanlin,
Jia, Yaqing,
Qu, Zhichen,
Luo, Bin,
Tang, Jin,
Sun, Dengdi |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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