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Open Source Science

sfod-sat

https://github.com/dagezhuang/sfod-sat

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
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    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (2.7%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: dagezhuang
  • Language: Python
  • Default Branch: main
  • Size: 7.27 MB
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 2 years ago · Last pushed 7 months ago
Metadata Files
Readme Citation

README.md

Zhou, Zhuang, and Shengyang Li. "Less is more: A semi-supervised fine-grained object detection for satellite video." Engineering Applications of Artificial Intelligence 139 (2025): 109609.

This code is implemented based on the MMDetection framework, with major improvements focused on the data preprocessing pipeline (Datasets-Pipelines) and backbone modules (Backbones), to better support the dual-stream feature extraction and attention-based fusion methods proposed in the thesis.

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - name: "MMDetection Contributors"
title: "OpenMMLab Detection Toolbox and Benchmark"
date-released: 2018-08-22
url: "https://github.com/open-mmlab/mmdetection"
license: Apache-2.0

GitHub Events

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  • Watch event: 1
  • Push event: 4