esg_todnet

A Tiny Object Detection Method Based on Explicit Semantic Guidance for Remote Sensing Images (IEEE GRSL 2024)

https://github.com/dyl96/esg_todnet

Science Score: 49.0%

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    Found 1 DOI reference(s) in README
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    Links to: ieee.org
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Repository

A Tiny Object Detection Method Based on Explicit Semantic Guidance for Remote Sensing Images (IEEE GRSL 2024)

Basic Info
  • Host: GitHub
  • Owner: dyl96
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 17.2 MB
Statistics
  • Stars: 11
  • Watchers: 1
  • Forks: 0
  • Open Issues: 1
  • Releases: 0
Created almost 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License Citation

README.md

A Tiny Object Detection Method Based on Explicit Semantic Guidance for Remote Sensing Images (IEEE GRSL 2024)

This repository contains python implementation of our paper ESG_TODNet.

1. Required environments:

2. Install and start ESG_TODNet:

Note that our ESG_TODNet is based on the MMDetection 2.24.1. Assume that your environment has satisfied the above requirements, please follow the following steps for installation.

shell script git clone https://github.com/dyl96/ESG_TODNet.git cd ESG_TODNet pip install -r requirements/build.txt python setup.py develop

Download AI-TODv2 dataset

Get Started

python tools/train.py configs_esg/ESG_TODNet/aitodv2_fcos_r50_p2_esg_3x.py

3. Result


4. Citation

Please cite our paper if you find the work useful:

@ARTICLE{10462223,
  author={Liu, Dongyang and Zhang, Junping and Qi, Yunxiao and Wu, Yinhu and Zhang, Ye},
  journal={IEEE Geoscience and Remote Sensing Letters}, 
  title={A Tiny Object Detection Method Based on Explicit Semantic Guidance for Remote Sensing Images}, 
  year={2024},
  volume={},
  number={},
  pages={1-1},
  doi={10.1109/LGRS.2024.3374418}}

Owner

  • Name: 刘东洋
  • Login: dyl96
  • Kind: user
  • Location: 哈尔滨市
  • Company: 哈尔滨工业大学

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Dependencies

docker/Dockerfile docker
  • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
docker/serve/Dockerfile docker
  • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
mmdet.egg-info/requires.txt pypi
  • asynctest *
  • cityscapesscripts *
  • codecov *
  • cython *
  • flake8 *
  • imagecorruptions *
  • interrogate *
  • isort ==4.3.21
  • kwarray *
  • matplotlib *
  • mmtrack *
  • numpy *
  • onnx ==1.7.0
  • onnxruntime >=1.8.0
  • pycocotools *
  • pytest *
  • scipy *
  • six *
  • sklearn *
  • terminaltables *
  • timm *
  • ubelt *
  • xdoctest >=0.10.0
  • yapf *
requirements/albu.txt pypi
  • albumentations >=0.3.2
requirements/build.txt pypi
  • cython *
  • numpy *
requirements/docs.txt pypi
  • docutils ==0.16.0
  • myst-parser *
  • sphinx ==4.0.2
  • sphinx-copybutton *
  • sphinx_markdown_tables *
  • sphinx_rtd_theme ==0.5.2
requirements/mminstall.txt pypi
  • mmcv-full >=1.3.17
requirements/optional.txt pypi
  • cityscapesscripts *
  • imagecorruptions *
  • scipy *
  • sklearn *
  • timm *
requirements/readthedocs.txt pypi
  • mmcv *
  • torch *
  • torchvision *
requirements/runtime.txt pypi
  • matplotlib *
  • numpy *
  • pycocotools *
  • six *
  • terminaltables *
requirements/tests.txt pypi
  • asynctest * test
  • codecov * test
  • flake8 * test
  • interrogate * test
  • isort ==4.3.21 test
  • kwarray * test
  • onnx ==1.7.0 test
  • onnxruntime >=1.8.0 test
  • pytest * test
  • ubelt * test
  • xdoctest >=0.10.0 test
  • yapf * test
requirements.txt pypi
setup.py pypi