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