Multi-Channel Feature Dimension Adaption for Correlation Tracking
Recent discriminative trackers especially based on Correlation Filters (CFs) have shown dominant performance for visual tracking. This kind of trackers benefit from multi-resolution deep features a lot, taking the expressive power of deep Convolutional Neural Networks (CNN). However, distractors in...
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| Hauptverfasser: | , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
IEEE
2021-01-01
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| Schriftenreihe: | IEEE Access |
| Schlagworte: | |
| Online-Zugang: | https://ieeexplore.ieee.org/document/9410606/ |
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