Miran Heo, Sukjun Hwang, Jeongseok Hyun, Hanjung Kim, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim

[arXiv] [BibTeX]

• Feb 28, 2023: GenVIS is accepted to CVPR 2023!
• Jan 20, 2023: Code is now available!

GenVIS is built upon VITA. See installation instructions.

We provide a script train_net_genvis.py, that is made to train all the configs provided in GenVIS.

To train a model with "train_net_genvis.py" on VIS, first setup the corresponding datasets following Preparing Datasets.

Then run with pretrained weights on target VIS dataset in VITA's Model Zoo:

python train_net_genvis.py --num-gpus 4 \
  --config-file configs/genvis/ovis/genvis_R50_bs8_online.yaml \
  MODEL.WEIGHTS vita_r50_ovis.pth

To evaluate a model's performance, use

python train_net_genvis.py --num-gpus 4 \
  --config-file configs/genvis/ovis/genvis_R50_bs8_online.yaml \
  --eval-only MODEL.WEIGHTS /path/to/checkpoint_file

Additional weights will be updated soon!

The majority of GenVIS is licensed under a Apache-2.0 License. However portions of the project are available under separate license terms: Detectron2(Apache-2.0 License), IFC(Apache-2.0 License), Mask2Former(MIT License), Deformable-DETR(Apache-2.0 License), and VITA(Apache-2.0 License).

If you use GenVIS in your research or wish to refer to the baseline results published in the Model Zoo, please use the following BibTeX entry.

@inproceedings{GenVIS,
  title={A Generalized Framework for Video Instance Segmentation},
  author={Heo, Miran and Hwang, Sukjun and Hyun, Jeongseok and Kim, Hanjung and Oh, Seoung Wug and Lee, Joon-Young and Kim, Seon Joo},
  booktitle={CVPR},
  year={2023}
}

@inproceedings{VITA,
  title={VITA: Video Instance Segmentation via Object Token Association},
  author={Heo, Miran and Hwang, Sukjun and Oh, Seoung Wug and Lee, Joon-Young and Kim, Seon Joo},
  booktitle={Advances in Neural Information Processing Systems},
  year={2022}
}

Our code is largely based on Detectron2, IFC, Mask2Former, Deformable DETR, and VITA. We are truly grateful for their excellent work.