Shypd.aiThe largest open index of AI toolsMaskDINO is an open-source AI framework that provides a unified transformer-based approach for object detection and segmentation. It achieves state-of-the-art performance across various segmentation tasks including panoptic, instance, and semantic segmentation.
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MaskDINO is an official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation," accepted at CVPR 2023. This open-source project offers a unified architecture capable of performing object detection, panoptic segmentation, instance segmentation, and semantic segmentation. It supports task and data cooperation between detection and segmentation, delivering state-of-the-art performance on major datasets like COCO, ADE20K, and Cityscapes. The framework is built upon detectron2 and offers a detrex version. Key features include a flexible architecture where users can easily replace backbone, pixel decoder, and transformer decoder components, and it supports mask-enhanced box initialization for improved performance.
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