Multi-scale Semantic Information Refinement and Hybrid Dual Attention Module based Object Detection in Remote Sensing Images-Reference-Cited by-同舟云学术

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Multi-scale Semantic Information Refinement and Hybrid Dual Attention Module based Object Detection in Remote Sensing Images

Published:2024-01-19 Issue: Volume:2019 Page:1-7
ISSN:
Container-title:Proceedings of the International Conference on Computer Vision and Deep Learning
language:
Short-container-title:

Author:

Shi Jiawei¹^ORCID,Wang Jiangtao²^ORCID

Affiliation:

1. College of Physics and Electronic Information Huaibei Normal University, China

2. College of Physics and Electronic Information Huaibei Normal University, China, School of Information Huaibei Normal University, China and Anhui Province Key Laboratory of Intelligent Computing and Applications, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3653781.3653818

Reference14 articles.

1. GCWNet: A Global Context-Weaving Network for Object Detection in Remote Sensing Images

2. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

3. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

4. SSD: Single Shot MultiBox Detector

5. fully convol-utional one-stage object detection;Tian Z;ICCV

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