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Keypoint detection techniques that treat landmark identification as a pixel-level segmentation task.
Distinct from Keypoint Detection: Focuses on the segmentation-based approach to localization rather than general landmark tracking
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This project is a collection of educational resources and implementation frameworks providing deep learning model recipes, code samples, and step-by-step guides for computer vision tasks. It organizes complex workflows into modular recipes and implementation guides to facilitate the building of image and video analysis models. The framework focuses on specialized vision capabilities, including an image similarity framework for fast retrieval and re-ranking, human pose estimation, and video action recognition. It also provides specific tools for crowd density estimation and document image clea
Implements keypoint detection by treating the identification of points of interest as a segmentation problem.