Object Detection in 20 Years: A Survey-Reference-Cited by-同舟云学术

Object Detection in 20 Years: A Survey

Published:2023-03 Issue:3 Volume:111 Page:257-276
ISSN:0018-9219
Container-title:Proceedings of the IEEE
language:
Short-container-title:Proc. IEEE

Author:

Zou Zhengxia¹^ORCID,Chen Keyan²^ORCID,Shi Zhenwei²^ORCID,Guo Yuhong³^ORCID,Ye Jieping⁴

Affiliation:

1. Department of Guidance, Navigation and Control, School of Astronautics, Beihang University, Beijing, China

2. Image Processing Center, School of Astronautics, Beijing Key Laboratory of Digital MediaState Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China

3. School of Computer Science, Carleton University, Ottawa, ON, Canada

4. Alibaba Group, Hangzhou, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/5/10061175/10028728.pdf?arnumber=10028728

Reference238 articles.

1. Microsoft coco: Common objects in context;lin;Proc ECCV,2014

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

3. ImageNet Large Scale Visual Recognition Challenge

4. Self Paced Deep Learning for Weakly Supervised Object Detection

5. Large-Scale Interactive Object Segmentation With Human Annotators

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