Group R-CNN for Weakly Semi-supervised Object Detection with Points
Author:
Affiliation:
1. Shanghai AI Laboratory
2. Georgia Institute of Technology
3. Tencent AI Platform Department,China
4. SenseTime Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9878378/9878366/09878811.pdf?arnumber=9878811
Reference32 articles.
1. Soft Proposal Networks for Weakly Supervised Object Localization
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3. Dynet: Dynamic convolution for accelerating convolutional neural networks;zhang;ArXiv Preprint,2020
4. Deep Residual Learning for Image Recognition
5. Deep Self-Taught Learning for Weakly Supervised Object Localization
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