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Found 3 papers, 2 papers with code
NetTrack: Tracking Highly Dynamic Objects with a Net
Most methods that solely depend on coarse-grained object cues, such as boxes and the overall appearance of the object, are susceptible to degradation due to distorted internal relationships of dynamic objects.
SAM-DA: UAV Tracks Anything at Night with SAM-Powered Domain Adaptation
However, the state-of-the-art (SOTA) DA still lacks the potential object with accurate pixel-level location and boundary to generate the high-quality target domain training sample.
Continuity-Aware Latent Interframe Information Mining for Reliable UAV Tracking
To address the above issues, this work proposes a novel framework with continuity-aware latent interframe information mining for reliable UAV tracking, i. e., ClimRT.
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