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RPE-PAD: Relative Pose Estimation for Pose-agnostic Anomaly Detection

Proceedings of the AAAI Conference on Artificial Intelligence
Pose-agnostic Anomaly Detection (PAD) aims to detect anomalies when the poses of query images are unknown and differ from those in the training set. Therefore, accurately estimating the camera poses for the query images in the test set is critical for this task. Existing query-specific framework methods require re-optimizing a new set of parameters for
Zhipeng Zhang   +6 more
openaire   +1 more source

OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Zhe Cao, Gines Hidalgo, Tomáš Simon
exaly  

Human pose estimation and its application to action recognition: A survey

Journal of Visual Communication and Image Representation, 2021
Liangchen Song   +2 more
exaly  

Pose estimation and behavior classification of broiler chickens based on deep neural networks

Computers and Electronics in Agriculture, 2021
Cheng Fang   +2 more
exaly  

Fast Relative Pose Estimation using Relative Depth

2024 International Conference on 3D Vision (3DV)
Jonathan Astermark   +3 more
openaire   +1 more source

Instance segmentation based 6D pose estimation of industrial objects using point clouds for robotic bin-picking

Robotics and Computer-Integrated Manufacturing, 2023
Chungang Zhuang, Han Ding
exaly  

The Progress of Human Pose Estimation: A Survey and Taxonomy of Models Applied in 2D Human Pose Estimation

IEEE Access, 2020
Tewodros Legesse Munea   +2 more
exaly  

6D Pose Estimation of Objects: Recent Technologies and Challenges

Applied Sciences (Switzerland), 2021
Zaixing He, Wuxi Feng, Xinyue Zhao
exaly  

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