SSTrack trains a Vision Transformer tracker without frame-wise box labels by combining forward global search, backward local association, and instance contrastive learning, and reports state-of-the-art self-supervised results on nine tracking benchmarks.
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Decoupled Spatio-Temporal Consistency Learning for Self-Supervised Tracking
SSTrack trains a Vision Transformer tracker without frame-wise box labels by combining forward global search, backward local association, and instance contrastive learning, and reports state-of-the-art self-supervised results on nine tracking benchmarks.