Learning Adaptive Spatial Regularization and Temporal-Aware Correlation Filters for Visual Object Tracking
Recently, discriminative correlation filters (DCF) based trackers have gained much attention and obtained remarkable achievements for their high efficiency and outstanding performance. However, undesirable boundary effects occur when the DCF-based trackers suffer from challenging situations, such as...
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| Principais autores: | , , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI AG
2022-11-01
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| Serier: | Mathematics |
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| Online adgang: | https://www.mdpi.com/2227-7390/10/22/4320 |
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