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Saliency Prototype for RGB-D and RGB-T Salient Object Detection（ACM MM2023）

Official implementation of ["Saliency Prototype for RGB-D and RGB-T Salient Object Detection"], Zihao Zhang, Jie Wang, Yahong Han

Overall architecture of the Saliency Prototype Network

Visual comparison results with other RGB-D models.

Environment

Requirements

Linux with Python ≥ 3.8

CUDA 11

The provided environment is suggested for reproducing our results, similar configurations may also work.

Quick Start

    conda create -n Spnet python=3.9.1
    conda activate Spnet
    git clone git@github.com:ZZ2490/SPNet.git
    python train_rgbd.py

RGBD Result Saliency Maps

链接：https://pan.baidu.com/s/1Fv34jaMj6Xq6lb_NoygoLA 提取码：2490

RGBT Result Saliency Maps

链接：https://pan.baidu.com/s/1rlMeizCsLzZ_0tmnjxZxUQ 提取码：2490

Evaluation Code

链接：https://pan.baidu.com/s/1qLRw0tlVoCp95zVu4sn2tw 提取码：2490

# Saliency Prototype for RGB-D and RGB-T Salient Object Detection（ACM MM2023）
Official implementation of ["Saliency Prototype for RGB-D and RGB-T Salient Object Detection"], Zihao Zhang, Jie Wang, Yahong Han


  ![Image text](https://github.com/ZZ2490/SPNet/blob/main/f2.png)
Overall architecture of the Saliency Prototype Network
## Visual comparison results with other RGB-D models.
 ![Image text](https://github.com/ZZ2490/SPNet/blob/main/f5.png)
## Environment
### Requirements
#### Linux with Python ≥ 3.8
#### CUDA 11
#### The provided environment is suggested for reproducing our results, similar configurations may also work.
### Quick Start

conda create -n Spnet python=3.9.1
conda activate Spnet
git clone git@github.com:ZZ2490/SPNet.git
python train_rgbd.py

## RGBD Result Saliency Maps
链接：https://pan.baidu.com/s/1Fv34jaMj6Xq6lb_NoygoLA 
提取码：2490
## RGBT Result Saliency Maps
链接：https://pan.baidu.com/s/1rlMeizCsLzZ_0tmnjxZxUQ 
提取码：2490
## Evaluation Code
链接：https:pan.baidu.com/s/1qLRw0tlVoCp95zVu4sn2tw 
提取码：2490

@Article{ SPNet, author = {Zihao Zhang, Jie Wang, Yahong Han}, title = {Saliency Prototype for RGB-D and RGB-T Salient Object Detection}, journal = {ACM International Conference on Multimedia}, year = {2023}, doi = {} }

Official implementation of ["Saliency Prototype for RGB-D and RGB-T Salient Object Detection"], Zihao Zhang, Jie Wang, Yahong Han


 ![Image text](https://github.com/ZZ2490/SPNet/blob/main/f2.png)
Overall architecture of the Saliency Prototype Network
## Visual comparison results with other RGB-D models.
![Image text](https://github.com/ZZ2490/SPNet/blob/main/f5.png)
## Environment
### Requirements
#### Linux with Python ≥ 3.8
#### CUDA 11
#### The provided environment is suggested for reproducing our results, similar configurations may also work.
### Quick Start

conda create -n Spnet python=3.9.1
conda activate Spnet
git clone git@github.com:ZZ2490/SPNet.git
python train_rgbd.py

## RGBD Result Saliency Maps
链接：https://pan.baidu.com/s/1Fv34jaMj6Xq6lb_NoygoLA 
提取码：2490
## RGBT Result Saliency Maps
链接：https://pan.baidu.com/s/1rlMeizCsLzZ_0tmnjxZxUQ 
提取码：2490
## Evaluation Code
链接：https:pan.baidu.com/s/1qLRw0tlVoCp95zVu4sn2tw 
提取码：2490