【YOLT】《You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery》
目錄 1 Motivation 1.1 Challenges 1.2 Impressive framework 2 Author’s algorithm 3 Advantage 4 Method 4.1 改進YOLOv1 4.1.1 Leaky ReLUs 4.1.2 passthrough layer 4.2 pre-processing and post-processing 5 datase
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相關文章
- 1. 深度學習論文: You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery及其PyTorch實現
- 2. 目標檢測之YOLT(you only look twice)
- 3. 【YOLOv1】《You Only Look Once: Unified, Real-Time Object Detection》
- 4. You Only Look Once Unified, Real-Time Object Detection
- 5. You Only Look Once: Unified, Real-Time Object Detection
- 6. The Effects of Super-Resolution on Object Detection Performance in Satellite Imagery
- 7. YOLO(You Only Look Once):Real-Time Object Detection
- 8. YOLOv1：You Only Look Once: Unified, Real-Time Object Detection
- 9. 《You Only Look Once:Unified,Real-Time Object Detection》筆記
- 10. you only look once