EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation Using Accelerated Neuroevolution With Weight Transfer

EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation Using Accelerated Neuroevolution With Weight Transfer

Neural architecture search has proven to be highly effective in the design of efficient convolutional neural networks that are better suited for mobile deployment than hand-designed networks. Hypothesizing that neural architecture search holds great potential for human pose estimation, we explore th...

Full description

Bibliographic Details
Main Authors: William McNally, Kanav Vats, Alexander Wong, John McPhee
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
computer vision
convolutional neural network
deep learning
human pose estimation
neural architecture search
Online Access:https://ieeexplore.ieee.org/document/9559918/

Similar Items

Similar Items