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<!DOCTYPE html>
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<title>Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation through Collaborative Error Revision</title>
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<h1 class="title is-1 publication-title" style="font-size: 45px;">Bones Can't Be Triangles:<br>Accurate and Efficient Vertebrae Keypoint<br>Estimation through Collaborative Error Revision</h1>
<div class="is-size-5 publication-authors">
<!-- Paper authors -->
<span class="author-block">
<a href="https://sites.google.com/view/jinhee-kim/" target="_blank">Jinhee Kim</a><sup>*</sup>,</span>
<span class="author-block">
<a href="https://scholar.google.com/citations?user=rvp49kYAAAAJ" target="_blank">Taesung Kim</a><sup>*</sup>,</span>
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<a href="https://sites.google.com/site/jaegulchoo" target="_blank">Jaegul Choo</a>
</span>
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<span class="author-block">Korea Advanced Institute of Science and Technology</span>
<span class="eql-cntrb"><small><br><sup>*</sup>indicates equal contributions.</small></span>
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<span>arXiv</span>
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<video poster="" id="tree" autoplay controls muted loop width="100%" height="100%">
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<source src="static/videos/KeyBot_video_AASCE.mp4"
type="video/mp4">
</video>
<video poster="" id="tree" autoplay controls muted loop width="100%" height="100%">
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<h2 class="subtitle">
<b style="color: #4472C4;">KeyBot</b> effectively removes major errors, allowing users to easily identify and correct remaining inaccuracies with minimal effort.
</h2>
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<p style="line-height: 1.5em;font-size: 18px">
Recent advances in interactive keypoint estimation methods have enhanced accuracy while minimizing user intervention. However, these methods require user input for error correction, which can be costly in vertebrae keypoint estimation where inaccurate keypoints are densely clustered or overlap. We introduce a novel approach, <b style="color: #4472C4;">KeyBot</b>, specifically designed to <b style="color: #4472C4;">identify and correct significant and typical errors</b> in existing models, akin to user revision. By characterizing typical error types and using simulated errors for training, KeyBot effectively corrects these errors and significantly reduces user workload. Comprehensive quantitative and qualitative evaluations on three public datasets confirm that KeyBot significantly outperforms existing methods, achieving <b style="color: #4472C4;">state-of-the-art performance</b> in interactive vertebrae keypoint estimation.
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<h2 class="title is-3 has-text-left">KeyBot framework</h2>
<p class="subtitle has-text-left" style="line-height: 1.5em;font-size: 22px">
<br><b>Overview of (a) <b style="color: #4472C4;">interactive keypoint estimation</b> and (b) the <b style="color: #4472C4;">KeyBot</b> framework:</b> The interaction model generates initial keypoint predictions from an image, which the user then revises, leading to updated results. This approach requires user input for error correction. In contrast, <b style="color: #4472C4;">KeyBot</b> offers a cost-efficient feedback mechanism via automated, rapid, and iterative refinement, without needing user input.
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<br><b>Training overview of KeyBot:</b> <b style="color: #4472C4;">KeyBot</b> consists of two main components. The <b style="color: #4472C4;">detector</b> is trained to discern whether each input keypoint is accurate or not. The <b style="color: #4472C4;">corrector</b> is trained to refine these inaccurate keypoints accurately.
</p>
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<h2 class="title is-3 has-text-left">Qualitative results</h2>
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<br><b>Prediction results:</b> <b style="color: #4472C4;">KeyBot</b> effectively reduces three types of errors, even in challenging cases where error types are mixed.
</p>
<img class="centered-image" src="static/images/KeyBot_qualitative_results.png" alt="MY ALT TEXT" width="100%"/>
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<pre><code>@inproceedings{kim2024Bones,
title={Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation through Collaborative Error Revision},
author={Kim, Jinhee and Kim, Taesung and Choo, Jaegul},
booktitle={European Conference on Computer Vision},
year={2024},
}</code></pre>
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</section>
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