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RANet: Ranking Attention Network for Fast Video Object Segmentation (VOS), ICCV2019

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Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao, "RANet: Ranking Attention Network for Fast Video Object Segmentation", ICCV 2019, official version, arXiv

Contact Information

Ziqin Wang

For academic

[email protected]

For commecial

[email protected]

(Please conntact me if you use my code, and explan the perpose.)


Contents

  1. Introduction
  2. Code
  3. Download
  4. Others
  5. Citation

Introduction

1. Overview

2. Framework

3. Ranking

Code

1. Requirement

Pytorch (tested on 1.0.1 and 0.4.1)

torchvision = 0.2

2. Usage

  1. Download the pretained model from this page.
  2. Link DAVIS folder into datasets folder.
  3. Run RANet.py

Download

Paper

Supplementary File

Precomputed results:Google drive

Pretrained models:Baidu, Google drive

Others

Chinese version

Discussion (Chinese)

VOS (Chinese)

Citation:

@InProceedings{Ziqin2019RANet,
               author = {Wang, Ziqin and Xu, Jun and Liu, Li and Zhu, Fan and Shao, Ling},
               title = {RANet: Ranking Attention Network for Fast Video Object Segmentation},
               booktitle = {ICCV},
               month = {Oct},
               year = {2019}
               }

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