Enhancing Representation Learning With Spatial Transformation and Early Convolution for Reinforcement Learning-Based Small Object Detection-Reference-Cited by-同舟云学术

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Enhancing Representation Learning With Spatial Transformation and Early Convolution for Reinforcement Learning-Based Small Object Detection

Published:2024-01 Issue:1 Volume:34 Page:315-328
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Fang Fen¹^ORCID,Liang Wenyu¹^ORCID,Cheng Yi¹^ORCID,Xu Qianli¹^ORCID,Lim Joo-Hwee¹^ORCID

Affiliation:

1. Institute for Infocomm Research, A*STAR, Fusionopolis, Singapore

Funder

Agency for Science, Technology and Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10382161/10147353.pdf?arnumber=10147353

Reference54 articles.

1. The Pascal Visual Object Classes (VOC) Challenge

2. Dynamic Zoom-in Network for Fast Object Detection in Large Images

3. AutoFocus: Efficient Multi-Scale Inference

4. QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection

Cited by 2 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. YOLOv7-PD: Incorporating DE-ELAN and NWD-CIoU for Advanced Pedestrian Detection Method;Information Technology and Control;2024-06-26

2. Object Detection Method Using Image and Number of Objects on Image as Label;IEEE Access;2024

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