Model decay, an accumulated bias from updating on past prediction errors, is formally proposed as a cause of long-term tracking drift, and the LT-SINT tracker with a decay recognition network and hybrid search is presented to reduce it.
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Model Decay in Long-Term Tracking
Model decay, an accumulated bias from updating on past prediction errors, is formally proposed as a cause of long-term tracking drift, and the LT-SINT tracker with a decay recognition network and hybrid search is presented to reduce it.