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Simple Baselines for Pose Estimation by Youtube Account is a document available to read on EtoBox.

This document presents simple and effective baseline methods for human pose estimation and tracking, addressing the increasing complexity of existing algorithms. The proposed methods achieve state-of-the-art results on challenging benchmarks, with a focus on ease of evaluation and inspiration for new ideas in the field. The authors provide a detailed description of their approach, including a deconvolutional network for pose estimation and an optical flow-based tracking algorithm, along with the release of

Author

Youtube Account

Language

EN