yangyang069.github.io
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (1.8%) to scientific vocabulary
Last synced: 6 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: yangyang069
- License: mit
- Language: CSS
- Default Branch: main
- Homepage: https://yangyang.wiki
- Size: 14 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 1
- Open Issues: 0
- Releases: 0
Created 9 months ago
· Last pushed 6 months ago
Metadata Files
Readme
License
Citation
README.md
Academic Homepage
A modern, responsive academic homepage inspired by the NeonMint design, featuring a cyberpunk/neon aesthetic with advanced animations and interactive elements.
📄 License
This project is open source and available under the MIT License.
Owner
- Name: roupy
- Login: yangyang069
- Kind: user
- Repositories: 1
- Profile: https://github.com/yangyang069
Citation (citation/10.1007_978-3-031-82024-3_8-citation.bib)
@InProceedings{10.1007/978-3-031-82024-3_8,
author="Yang, Yang
and Zhu, Jianlin
and Yang, Bo
and Zhang, Xiao
and Huang, Jin",
editor="Magnenat-Thalmann, Nadia
and Kim, Jinman
and Sheng, Bin
and Deng, Zhigang
and Thalmann, Daniel
and Li, Ping",
title="An Improved YOLOv8-Based Rice Pest and Disease Detection",
booktitle="Advances in Computer Graphics",
year="2025",
publisher="Springer Nature Switzerland",
address="Cham",
pages="96--107",
abstract="While rice pests and diseases significantly impact crop yields, existing deep learning methods for their detection face challenges with accuracy and deployment complexity. Addressing these issues, this study proposes the YOLOv8-HSFPN, an advanced detection framework. Firstly, it features an innovative High-level Select Feature Pyramid Network (HSFPN) neck network that effectively integrates high-level and low-level feature sets for enhanced feature fusion. Secondly, the addition of a deformable self-attention module further refines the model's adaptability to the varying shapes and locations of targets, dynamically adjusting to the salient features. The proposed model has undergone comparative and ablation studies alongside YOLOv8, YOLOv9, and YOLOv5, confirming its improved accuracy and streamlined deployment. This integration results in a robust detection model that not only marks a significant leap in accuracy, evidenced by a 3{\%} empirical increase over the standard YOLOv8, but is also remarkably compact. At a mere 3.97MB, this substantial 49.87{\%} size reduction compared to its predecessors renders it exceptionally suitable for devices with limited computational resources, thereby enhancing its viability in practical, real-world applications.",
isbn="978-3-031-82024-3"
}
GitHub Events
Total
- Delete event: 1
- Issue comment event: 1
- Member event: 3
- Push event: 165
- Pull request event: 19
- Fork event: 4
- Create event: 6
Last Year
- Delete event: 1
- Issue comment event: 1
- Member event: 3
- Push event: 165
- Pull request event: 19
- Fork event: 4
- Create event: 6
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 0
- Total pull requests: 10
- Average time to close issues: N/A
- Average time to close pull requests: less than a minute
- Total issue authors: 0
- Total pull request authors: 2
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 8
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 10
- Average time to close issues: N/A
- Average time to close pull requests: less than a minute
- Issue authors: 0
- Pull request authors: 2
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 8
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- Louaq (9)
- yangyang069 (1)