[R] Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation

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https://i.redd.it/gtwek5z3jeua1.gif

Check out the new CVPR 2023 work: **Mask DINO**!

Code: [https://github.com/IDEA-Research/MaskDINO](https://github.com/IDEA-Research/MaskDINO)
Paper link: [https://arxiv.org/abs/2206.02777](https://arxiv.org/abs/2206.02777)

🔥**Highlighted features**

* A **unified** architecture for object detection, panoptic, instance, and semantic segmentation.
* Achieve **task and data cooperation** between detection and segmentation.
* **State-of-the-art** performance under the same setting.
* Support major detection and segmentation datasets: COCO, ADE20K, Cityscapes.

After released for a few months, compared with SOTA models, it is still the **best model under similar model parameter size**.


🔥**Model framework** …

architecture art check cvpr data datasets detection features framework machinelearning major performance segmentation semantic sota state support transformer work