【Distill 系列：二】CVPR 2019 Distilling Object Detectors with Fine-grained Feature Imitation
cvpr 2019 detectors care more about local near object regions motivation Fitnets: Hints for thin deep nets hint learning 利用網絡中間層 teacher & student feature map L2 loss 分析 feature map 整體做 hint 不好，detect
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相關文章
- 1. Distilling Object Detectors with Fine-grained Feature Imitation
- 2. CVPR 2017:Large Margin Object Tracking with Circulant Feature Maps
- 3. Training Region-based Object Detectors with Online Hard Example Mining
- 4. 【Distill 系列：一】bmvc2019 Learning Efficient Detector with Semi-supervised Adaptive Distillation
- 5. OHEM：Training Region-based Object Detectors with Online Hard Example Mining
- 6. one-stage object detectors(1)
- 7. 2019 CVPR之ReID：Towards Rich Feature Discovery with Class Activation Maps Augmentation for Person Re-
- 8. 【FPN】《Feature Pyramid Networks for Object Detection》
- 9. 論文閱讀：DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
- 10. CVPR 2020-Object Detection