Update README.md

README.md

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----
-license: apache-2.0
----
+---
+license: apache-2.0
+tags:
+- salient-object-detection
+- remote-sensing
+- computer-vision
+- multimodal
+- pytorch
+---
+
+<a id="top"></a>
+<div align="center">
+  <h1>🚀 HFCNet: Heterogeneous Feature Collaboration Network for Salient Object Detection in Optical Remote Sensing Images</h1>
+
+  <p>
+    <b>Yutong Liu</b><sup>1</sup>&nbsp;
+    <b>Mingzhu Xu</b><sup>1</sup>&nbsp;
+    <b>Tianxiang Xiao</b><sup>1</sup>&nbsp;
+    <b>Haoyu Tang</b><sup>1</sup>&nbsp;
+    <b>Yupeng Hu</b><sup>1✉</sup>&nbsp;
+    <b>Liqiang Nie</b><sup>1</sup>
+  </p>
+
+  <p>
+    <sup>1</sup>Affiliation (Please update if needed)
+  </p>
+</div>
+
+Official implementation of **HFCNet**, a Heterogeneous Feature Collaboration Network for Salient Object Detection (SOD) in Optical Remote Sensing Images.
+
+🔗 **Journal:** IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024  
+🔗 **Task:** Salient Object Detection (SOD)  
+🔗 **Framework:** PyTorch  
+
+---
+
+## 📌 Model Information
+
+### 1. Model Name
+**HFCNet** (Heterogeneous Feature Collaboration Network)
+
+---
+
+### 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 object detection  
+  - Environmental monitoring  
+
+---
+
+### 3. Project Introduction
+
+Salient Object Detection (SOD) in remote sensing images is challenging due to complex backgrounds, scale variations, and heterogeneous feature distributions.
+
+**HFCNet** proposes a Heterogeneous Feature Collaboration framework, which:
+
+- Integrates multi-level heterogeneous features  
+- Enhances feature interaction and collaboration  
+- Improves representation of salient objects across scales  
+- Strengthens robustness against background interference  
+
+---
+
+### 4. Training Data Source
+
+Supported datasets:
+
+- ORSSD  
+- EORSSD  
+- ORSI  
+
+---
+
+## 🚀 Pre-trained Weights
+
+### Initialization Weights
+
+Download backbone weights:
+
+- Swin Transformer  
+- VGG16  
+
+Place `.pth` files into:./pretrained
+
+
+---
+
+### Trained Weights
+
+Download trained model weights:
+
+- Baidu Cloud: https://pan.baidu.com/s/1bVC4uxf3xKhLRcC08EQKMQ?pwd=hfcn  
+
+---
+
+## 🚀 Training
+
+1. Download datasets and pre-trained weights  
+2. Prepare dataset path lists (.txt files)  
+3. Update dataset paths in config files  
+
+### Run training:
+
+```bash
+nohup python -u main.py --flag train --model_id HFCNet --config config/dataset_o.yaml --device cuda:0 > train_ORSSD.log &
+
+nohup python -u main.py --flag train --model_id HFCNet --config config/dataset_e.yaml --device cuda:0 > train_EORSSD.log &
+
+nohup python -u main.py --flag train --model_id HFCNet --config config/dataset_orsi.yaml --device cuda:0 > train_ORSI.log &
+
+## 🚀 Testing
+mkdir ./modelPTH-ORSSD
+python main.py --flag test --model_id HFCNet --config config/dataset_o.yaml
+
+mkdir ./modelPTH-EORSSD
+python main.py --flag test --model_id HFCNet --config config/dataset_e.yaml 
+
+mkdir ./modelPTH-ORSI
+python main.py --flag test --model_id HFCNet --config config/dataset_orsi.yaml
+
+## ⚠️ Notes
+Designed for academic research
+Performance depends on dataset characteristics
+Requires GPU for efficient training
+
+## 📝Citation
+@ARTICLE{HFCNet,
+  author={Liu, Yutong and Xu, Mingzhu and Xiao, Tianxiang and Tang, Haoyu and Hu, Yupeng and Nie, Liqiang},
+  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
+  title={Heterogeneous Feature Collaboration Network for Salient Object Detection in Optical Remote Sensing Images}, 
+  year={2024},
+  volume={62},
+  pages={1-14}
+}