DTKDP: A Dual Teacher Knowledge Distillation and Pruning Framework for Lightweight Oriented SAR Ship Detection

arXiv:2609.24872 · cs.CV · Submitted 2026-09-21 · Read on arXiv

cs.CV

Submitted: 2026-09-21

Updated: 2026-09-21

Code: https://github.com/open-mmlab/mmyolo

Terminology

• Distillation — 127× in this paper · explained in 2 episodes
• Pruning — 119× in this paper · explained in 4 episodes
• Transformer — 85× in this paper · explained in 2 episodes
• Knowledge Distillation — 41× in this paper · explained in 11 episodes
• Accuracy — 38× in this paper · explained in 1 episode
• Sparsity — 28× in this paper · explained in 4 episodes
• Alignment — 17× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 9× in this paper
• Rotated Proposal Alignment — 9× in this paper
• Ablation — 7× in this paper · explained in 1 episode
• Regularization — 6× in this paper · explained in 3 episodes
• SAR Ship Detection Dataset — 6× in this paper
• Aperture — 5× in this paper · explained in 1 episode
• Benchmark — 5× in this paper · explained in 2 episodes
• Synthetic Aperture Radar — 5× in this paper
• Aggregation — 4× in this paper · explained in 1 episode
• Dual Teacher Knowledge Distillation — 4× in this paper
• Ablation Studies — 3× in this paper · explained in 1 episode
• Feature Extraction — 3× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 2× in this paper
• Consistency — 2× in this paper · explained in 3 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• You Only Look Once — 2× in this paper
• Edge Deployment — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Two-Stage Architecture — 1× in this paper · explained in 2 episodes

Sources

• Light-Head R-CNN: In Defense of Two-Stage Object Detector
• RTMDet: An Empirical Study of Designing Real-Time Object Detectors
• Distilling the Knowledge in a Neural Network

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