DTPTrack adds reliability scoring of past states and synthesis of temporal priors to trackers, producing consistent gains and new SOTA results of 77.5% success on LaSOT and 80.3% AO on GOT-10k.
Towards more flexible and accurate object tracking with natural language: Algo- rithms and benchmark
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Drift-Resilient Temporal Priors for Visual Tracking
DTPTrack adds reliability scoring of past states and synthesis of temporal priors to trackers, producing consistent gains and new SOTA results of 77.5% success on LaSOT and 80.3% AO on GOT-10k.