DiDi (Distractor Distilled Dataset)
Introduced by Videnovic et al. in A Distractor-Aware Memory for Visual Object Tracking with SAM2
DiDi is a distractor-distilled tracking dataset created to address the limitation of low distractor presence in current visual object tracking benchmarks. To enhance the evaluation and analysis of tracking performance amidst distractors, we have semi-automatically distilled several existing benchmarks into the DiDi dataset. The dataset is available for download at this URL: https://go.vicos.si/didi
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