Efficient Regional Memory Network for Video Object Segmentation

RMNet

This repository contains the source code for the paper Efficient Regional Memory Network for Video Object Segmentation.

Cite this work

@inproceedings{xie2021efficient,
  title={Efficient Regional Memory Network for Video Object Segmentation},
  author={Xie, Haozhe and 
          Yao, Hongxun and 
          Zhou, Shangchen and 
          Zhang, Shengping and 
          Sun, Wenxiu},
  booktitle={CVPR},
  year={2021}
}

Datasets

We use the ECSSD, COCO, PASCAL VOC, MSRA10K, DAVIS, and YouTube-VOS datasets in our experiments, which are available below:

Pretrained Models

The pretrained models for DAVIS and YouTube-VOS are available as follows:

Prerequisites

Clone the Code Repository

git clone https://github.com/hzxie/RMNet.git

Install Python Denpendencies

cd RMNet
pip install -r requirements.txt

Build PyTorch Extensions

NOTE: PyTorch >= 1.4, CUDA >= 9.0 and GCC >= 4.9 are required.

 

 

 

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