A nested Mamba-in-Mamba architecture with template-first spatial scans, temporal serialization scans, and retrieval-augmented query attention reports top average precision and success on five UAV tracking benchmarks.
A two-stage target search and tracking method for uav based on deep reinforcement learning,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
TrackingMiM: Efficient Mamba-in-Mamba Serialization for Real-time UAV Object Tracking
A nested Mamba-in-Mamba architecture with template-first spatial scans, temporal serialization scans, and retrieval-augmented query attention reports top average precision and success on five UAV tracking benchmarks.