hkchengrex/Tracking-Anything-with-DEVA

[ICCV 2023] Tracking Anything with Decoupled Video Segmentation

PythonShelldeep-learningobject-trackingvideo-editingvideo-segmentationvideo-object-segmentationiccv2023open-vocabulary-segmentationopen-world-video-segmentationopen-vocabulary-video-segmentation
This is stars and forks stats for /hkchengrex/Tracking-Anything-with-DEVA repository. As of 28 Apr, 2024 this repository has 693 stars and 62 forks.

DEVA: Tracking Anything with Decoupled Video Segmentation Ho Kei Cheng, Seoung Wug Oh, Brian Price, Alexander Schwing, Joon-Young Lee University of Illinois Urbana-Champaign and Adobe ICCV 2023 [arXiV] [PDF] [Project Page] Highlights Provide long-term, open-vocabulary video segmentation with text-prompts out-of-the-box. Fairly easy to integrate your own image model! Wouldn't you or your reviewers be interested in seeing examples where your image model also works well on videos 😏? No finetuning is...
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