Instance As Identity: A Generic Online Paradigm for Video Instance Segmentation
September 19, 2022 ยท View on GitHub
Introduction
This repo is the official implementation of IAI paradigm for video instance segmentation. The overview of IAI paradigm is shown below.
Visualization on YTVIS-2019 & OVIS

Performance
| Dataset | Model Name | Backbone | mAP | FPS | FPS (4GPUs) |
|---|---|---|---|---|---|
| YTVIS2019 | IAI+CondInst | R50 | 39.9 | 32 | 101 |
| YTVIS2019 | IAI+CondInst | R101 | 43.7 | 28 | 96 |
| YTVIS2021 | IAI+CondInst | R50 | 38.0 | 30 | 109 |
| OVIS | IAI+CondInst | R50 | 20.6 | 14 | 50 |
Installation
Please refer to INSTALL.md for installation instructions.
Getting Started
Please refer to Preparing Dataset.
Please refer to Getting Started with IAI.
Citation
@inproceedings{iai,
title={Instance As Identity: A Generic Online Paradigm for Video Instance Segmentation},
author={Zhu, Feng and Yang, Zongxin and Yu, Xin and Yang, Yi and Wei, Yunchao},
booktitle={ECCV},
year={2022},
}
Acknowledegement
This repo is based on MMDetection and AOT. Thanks for their wonderful works.