ProbPose: A Probabilistic Approach to 2D Human Pose Estimation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00384019" target="_blank" >RIV/68407700:21230/25:00384019 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/CVPR52734.2025.02526" target="_blank" >https://doi.org/10.1109/CVPR52734.2025.02526</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CVPR52734.2025.02526" target="_blank" >10.1109/CVPR52734.2025.02526</a>
Alternative languages
Result language
angličtina
Original language name
ProbPose: A Probabilistic Approach to 2D Human Pose Estimation
Original language description
Current state-of-the-art Human Pose Estimation methods ignore out-of-image keypoints in both training and evaluation and use uncalibrated heatmaps as keypoint location representations. We propose ProbPose, which predicts for each keypoint: a calibrated probability of keypoint presence at each location in the activation window, the probability of being outside of it, and its predicted visibility. To address the lack of evaluation protocols for out-of-image keypoints, we introduce the CropCOCO dataset and the Extended OKS (Ex-OKS) metric, which extends OKS to out-of-image points. Tested on COCO, CropCOCO, and OCHuman, ProbPose shows significant gains in out-of-image keypoint localization while also improving in-image localization through data augmentation. Additionally, the model improves robustness along the edges of the bounding box and offers better flexibility in keypoint evaluation. The code and weights are available on MiraPurkrabek.github.io/ProbPose.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/VJ02010041" target="_blank" >VJ02010041: A set of forensic analytic tools for image and video processing for the criminal police and investigation service</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
ISBN
979-8-3315-4364-8
ISSN
1063-6919
e-ISSN
2575-7075
Number of pages
10
Pages from-to
27124-27133
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos
Event location
Nashville
Event date
Jun 11, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001601181100288