Object Localization under Single Coarse Point Supervision-Reference-Cited by-同舟云学术

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Object Localization under Single Coarse Point Supervision

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

Author:

Yu Xuehui¹,Chen Pengfei¹,Wu Di¹,Hassan Najmul²,Li Guorong¹,Yan Junchi³,Shi Humphrey²,Ye Qixiang¹,Han Zhenjun¹

Affiliation:

1. University of Chinese Academy of Sciences

2. U of Oregon

3. Shanghai Jiao Tong University

Funder

Youth Innovation Promotion Association CAS

National Natural Science Foundation of China (NSFC)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09880009.pdf?arnumber=9880009

Reference53 articles.

1. DOTA: A Large-Scale Dataset for Object Detection in Aerial Images

2. Background activation suppression for weakly supervised object localization;wu;ArXiv Preprint,2021

3. Segmentation as selective search for object recognition

4. PCL: Proposal Cluster Learning for Weakly Supervised Object Detection

5. Deep High-Resolution Representation Learning for Human Pose Estimation

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1. CPR++: Object Localization via Single Coarse Point Supervision;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-07

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3. Enhancing AI Research for Breast Cancer: A Comprehensive Review of Tumor-Infiltrating Lymphocyte Datasets;Journal of Imaging Informatics in Medicine;2024-05-28

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