Group R-CNN for Weakly Semi-supervised Object Detection with Points

Author:

Zhang Shilong1,Yu Zhuoran2,Liu Liyang3,Wang Xinjiang4,Zhou Aojun4,Chen Kai1

Affiliation:

1. Shanghai AI Laboratory

2. Georgia Institute of Technology

3. Tencent AI Platform Department,China

4. SenseTime Research

Publisher

IEEE

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Weakly Semi-Supervised Oriented with Points for Remote Sensing Vehicle Detection;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Point based weakly semi-supervised biomarker detection with cross-scale and label assignment in retinal OCT images;Computer Methods and Programs in Biomedicine;2024-06

3. End-to-end Point Supervised Object Detection with low-level instance features;Applied Soft Computing;2024-05

4. On-the-fly point annotation for fast medical video labeling;International Journal of Computer Assisted Radiology and Surgery;2024-04-04

5. Position-based anchor optimization for point supervised dense nuclei detection;Neural Networks;2024-03

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