MQP

A Novel Video Salient Object Detection Method via Semi-supervised Motion Quality Perception

Prerequisites

The training and testing experiments are conducted using PyTorch 1.1.0 with a single GeForce RTX 2080Ti GPU with 11GB Memory.

• Windows
• CUDA v10.1, cudnn v.7.5.0
• PyTorch 1.1.0
• torchvision

Update

The training code has been uploaded

Todo

Upload data preprocessing code

Usage

1.Clone

git clone https://github.com/qduOliver/MQP.git

cd MQP/

2.Download the datasets

Download the following datasets and unzip them into your_data folder. All datasets can be downloaded at this data link.

• Davis
• Segtrack-v2
• Visal
• DAVSOD
• VOS

3.Download the pre-trained models

Because the Baidu Cloud link failed before, it has been updated now, please click the link below. Download the following pre-trained models(code:771o) into pretmodel folder.

3.Train run train.py

4.Test run test.py

Data

Our saliency detection results can be downloaded on BaiduCloud(code:nkox).

Thanks to CPD and PWC-net