SBMVTrack: Spike-Budgeted Multi-View Learning for Power-Efficient UAV Tracking

arXiv:2609.25503 · cs.CV · Submitted 2026-09-21 · Read on arXiv

cs.CV

Submitted: 2026-09-21

Updated: 2026-09-28

Terminology

Transformer — 16× in this paper · explained in 2 episodes
Accuracy — 14× in this paper · explained in 1 episode
Benchmark — 14× in this paper · explained in 2 episodes
Consistency — 13× in this paper · explained in 3 episodes
Energy-Weighted Spike Budgeting — 6× in this paper
Robustness — 6× in this paper · explained in 5 episodes
Ablation — 5× in this paper · explained in 1 episode
Masked Multi-View Target Modeling — 5× in this paper
Representation Learning — 5× in this paper · explained in 2 episodes
Ablation study — 4× in this paper · explained in 1 episode
Energy Efficiency — 4× in this paper · explained in 3 episodes
Regularization — 3× in this paper · explained in 3 episodes
Feature Extraction — 2× in this paper · explained in 2 episodes
Target-Aware Pooling — 2× in this paper
AUC — 1× in this paper · explained in 2 episodes
Adaptation — 1× in this paper · explained in 1 episode
Aggregation — 1× in this paper · explained in 1 episode
Distillation — 1× in this paper · explained in 2 episodes
Domain Adaptation — 1× in this paper · explained in 5 episodes
Embeddings — 1× in this paper · explained in 2 episodes
Knowledge Distillation — 1× in this paper · explained in 11 episodes
Quantization — 1× in this paper · explained in 12 episodes
Randomized Patch Module — 1× in this paper
Sparsity — 1× in this paper · explained in 4 episodes
Spiking Neural Networks (SNNs) — 1× in this paper · explained in 3 episodes

Sources

Decoupled Weight Decay Regularization

Terminology

Sources

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