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EfficientPose: Efficient Human Pose Estimation with Neural Architecture Search
[article]
2020
arXiv
pre-print
Human pose estimation from image and video is a vital task in many multimedia applications. Previous methods achieve great performance but rarely take efficiency into consideration, which makes it difficult to implement the networks on resource-constrained devices. Nowadays real-time multimedia applications call for more efficient models for better interactions. Moreover, most deep neural networks for pose estimation directly reuse the networks designed for image classification as the backbone,
arXiv:2012.07086v1
fatcat:bc5o6lzfvrgevgghacsfxgjaay