iLearn-Lab/TGRS23-AESINet

🚀 AESINet: Adaptive Edge-aware Semantic Interaction Network for Salient Object Detection in Optical Remote Sensing Images

Xiangyu Zeng¹  Mingzhu Xu¹  Yijun Hu¹  Haoyu Tang¹  Yupeng Hu^1✉  Liqiang Nie¹

¹Affiliation (Please update if needed)

Official implementation of AESINet, an Adaptive Edge-aware Semantic Interaction Network for Salient Object Detection (SOD) in Optical Remote Sensing Images.

🔗 Journal: IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
🔗 Task: Salient Object Detection (SOD)
🔗 Framework: PyTorch

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📌 Model Information

1. Model Name

AESINet (Adaptive Edge-aware Semantic Interaction Network)

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2. Task Type & Applicable Tasks

• Task Type: Salient Object Detection / Remote Sensing
• Core Task: Salient object detection in optical remote sensing imagery
• Applicable Scenarios:
  • Remote sensing scene understanding
  • Aerial image analysis
  • Environmental monitoring

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3. Project Introduction

Salient Object Detection (SOD) in optical remote sensing images is challenging due to complex backgrounds, low contrast, and ambiguous object boundaries.

AESINet introduces an adaptive edge-aware semantic interaction mechanism, which:

• Enhances edge-aware feature representation
• Promotes multi-level semantic interaction
• Improves boundary localization accuracy
• Strengthens robustness under complex backgrounds

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4. Training Data

Common datasets used in remote sensing SOD:

• ORSSD
• EORSSD
• ORSI

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🚀 Pre-trained Weights

Model Weights

• AESINet-V (VGG backbone):
  https://pan.baidu.com/s/1Xo97lQF4TS2jak9v8iU8jA?pwd=qegm

• AESINet-R (ResNet backbone):
  https://pan.baidu.com/s/1gYW9qOjR0YjU5R4dCN9Hfg?pwd=tj25

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Backbone Pretrained Weights

• VGG & ResNet:
  https://pan.baidu.com/s/18k9e3YcxK1rTY8A_WajTyg?pwd=lb8l

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🚀 Training & Testing

Step 1: Prepare Data

• Download datasets and pre-trained weights
• Place them into corresponding directories

Step 2: Generate Dataset Lists

python generateTrainList.py
python generateTestList.py

### Step 3: Configure Paths
Modify dataset paths in the code
Ensure .txt file paths are correctly set

## ⚠️ Notes
Both ResNet and VGG versions are available
Code readability will be improved in future updates
GPU is recommended for training and inference

## 📝 Citation
@ARTICLE{10198281,
  author={Zeng, Xiangyu and Xu, Mingzhu and Hu, Yijun and Tang, Haoyu and Hu, Yupeng and Nie, Liqiang},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={Adaptive Edge-Aware Semantic Interaction Network for Salient Object Detection in Optical Remote Sensing Images}, 
  year={2023},
  volume={61},
  pages={1-16},
  doi={10.1109/TGRS.2023.3300317}
}

## 📬 Contact

For any questions, please contact:

## 📧 z15264367990@163.com