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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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