HDMamba-YOLO: Efficient State-Space Perception and Local Spatial Reconstruction for UAV Small Object

arXiv:2609.23061 · cs.CV · Submitted 2026-09-19 · Read on arXiv

cs.CV

Submitted: 2026-09-19

Updated: 2026-09-19

Terminology

• Aggregation — 35× in this paper · explained in 1 episode
• Alignment — 33× in this paper · explained in 1 episode
• Ablation — 23× in this paper · explained in 1 episode
• Accuracy — 21× in this paper · explained in 1 episode
• Transformer — 12× in this paper · explained in 2 episodes
• Calibration — 8× in this paper · explained in 7 episodes
• Feature Extraction — 6× in this paper · explained in 2 episodes
• Ablation Studies — 5× in this paper · explained in 1 episode
• Adaptation — 5× in this paper · explained in 1 episode
• Activation Function — 3× in this paper · explained in 1 episode
• Adaptive Spatial-Semantic Attention Fusion — 3× in this paper
• Computational overhead — 3× in this paper · explained in 2 episodes
• Core — 3× in this paper · explained in 2 episodes
• Representation Learning — 3× in this paper · explained in 2 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Quantization — 2× in this paper · explained in 12 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Edge Deployment — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Hypergraph — 1× in this paper · explained in 2 episodes
• Instance Segmentation — 1× in this paper · explained in 3 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• State Space Models (SSMs) — 1× in this paper · explained in 4 episodes
• Wasserstein Distance — 1× in this paper · explained in 4 episodes

Sources

• YOLOv4: Optimal Speed and Accuracy of Object Detection
• ALSS-YOLO: An Adaptive Lightweight Channel Split and Shuffling Network for TIR Wildlife Detection in UAV Imagery
• YOLOv11: An Overview of the Key Architectural Enhancements
• MambaNeXt-YOLO: A Hybrid State Space Model for Real-time Object Detection
• A Normalized Gaussian Wasserstein Distance for Tiny Object Detection

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