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This is the official implementation of Temporal Reduce Network (TRN).

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Why Look at Every Frame in Video Instance Segmentation

This is the official implementation of TRN on MinVIS.

Features

  • Temporal Reduce Network to Speed Up Video Instance Segmentation models.
  • Support major video instance segmentation datasets: YouTubeVIS 2019/2021, Occluded VIS (OVIS).

Installation

See installation instructions.

Getting Started

See Preparing Datasets for TRN.

See Getting Started with TRN.

Model Zoo

Trained models are available for download in the TRN Model Zoo.

License

The majority of TRN is made available under the Nvidia Source Code License-NC. The trained models in the TRN Model Zoo are made available under the CC BY-NC-SA 4.0 License.

Portions of the project are available under separate license terms: Mask2Former is licensed under a MIT License. Swin-Transformer-Semantic-Segmentation is licensed under the MIT License, Deformable-DETR is licensed under the Apache-2.0 License.

Acknowledgement

This repo is largely based on Mask2Former (https://github.com/facebookresearch/Mask2Former) and MinVIS (https://github.com/NVlabs/MinVIS).

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This is the official implementation of Temporal Reduce Network (TRN).

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