Focal and Global Knowledge Distillation for Detectors-Reference-Cited by-同舟云学术

Focal and Global Knowledge Distillation for Detectors

Published:2022-06 Issue: Volume: Page:
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Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Yang Zhendong¹,Li Zhe²,Jiang Xiaohu¹,Gong Yuan¹,Yuan Zehuan²,Zhao Danpei³,Yuan Chun¹

Affiliation:

1. Tsinghua Shenzhen International Graduate School

2. ByteDance Inc

3. BeiHang University

Funder

NSFC

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879869.pdf?arnumber=9879869

Reference35 articles.

1. A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning

2. RepPoints: Point Set Representation for Object Detection

3. Aggregated Residual Transformations for Deep Neural Networks

4. Cbam: Convolutional block attention module;woo;Proceedings of the European Conference on Computer Vision (ECCV),0

5. Improve object detection with feature-based knowledge distillation: Towards accurate and efficient detectors;zhang;International Conference on Learning Representations,0

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