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<!DOCTYPE html>
<html>
  <head>
    <meta charset="utf-8">
    <title>OMPS</title>
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    <section class="hero is-light" style="">
      <div class="hero-body" style="padding-top: 50px;">
        <div class="container" style="text-align: center;margin-bottom:5px;">
          <h1 class="title">
            Ordinal Multi-task Part Segmentation with Recurrent Prior Generation
          </h1>

          <div class="author">Yifan Zhao</div>
          <div class="author">Jia Li*</div>
          <div class="author">Yu Zhang</div>
          <div class="aff">
            State Key Laboratory of Virtual Reality Technology and Systems, Beihang University
          </div>
          <div class="author">Yafei Song</div>
          <div class="author">Yonghong Tian</div>
          <div class="aff">
            School of Electronics Engineering and Computer Science, Peking University
          </div>
          <div class="group">
            <a href="http://cvteam.net/">CVTEAM</a>
          </div>
          <div class="con">
            <p  style="font-size: 24px; margin-top:5px; margin-bottom: 15px;">
            TPAMI 2021
            </p>
          </div>
          <div class="columns">
            <div class="column"></div>
            <div class="column"></div>
            <div class="column">
              <a href="https://ieeexplore.ieee.org/document/8903484" target="_blank">
                <p class="link">Paper</p>
              </a>
            </div>
            <div class="column">
                <p class="link">Code</p>
              </a>
            </div>
            <div class="column"></div>
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    </section>
    <div style="text-align: center;">
      <div class="container" style="max-width:850px">
        <div style="text-align: center;">
          <img src="assets/OMPS/Framework.jpg" class="centerImage">
        </div>
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      <div class="head_cap">
        <p style="color:gray;">
            Pipeline of proposed OMPS framework
        </p>
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    <section class="hero">
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        <div class="container" style="max-width: 800px" >
          <h1 style="">Abstract</h1>
          <p  style="text-align: justify; font-size: 17px;">
            Semantic object part segmentation is a fundamental task in object
            understanding and geometric analysis. The clear understanding of
            part relationships can be of great use to the segmentation process.
             In this work, we propose a novel Ordinal Multitask Part Segmentation
             (OMPS) approach which explicitly models the part ordinal relationship
             to guide the segmentation process in a recurrent manner. Quantitative
             and qualitative experiments are conducted first to explore the mutual
             impacts among object parts and then an ordinal part inference algorithm
             is formulated via experimental observations. Specifically, our framework
             is mainly composed of two modules, the forward module to segment multiple
             rts as individual subtasks with prior knowledge, and the recurrent module
             to generate appropriate part priors with the ordinal inference algorithm.
              These two modules work iteratively to optimize the segmentation performance
              he network parameters. Experimental results show that our approach outperforms
               the state-of-the-art models on human and vehicle part parsing benchmarks.
               Comprehensive evaluations are conducted to demonstrate the effectiveness
               of our approach in object part segmentation.
          </p>
        </div>
      </div>
    </section>
    <section class="hero is-light" style="background-color:#FFFFFF;">
      <div class="hero-body">
        <div class="container" style="max-width:800px;margin-bottom:20px;">
          <h1>
            Qualitative Comparison
          </h1>
        </div>
        <div class="container" style="max-width:800px">
          <div style="text-align: center;">
            <img src="assets/OMPS/results-all.png" class="centerImage">
          </div>
        </div>
      </div>
    </section>
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    <p class="card-header-title">
      BibTex Citation
    </p>

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<pre style="background-color:inherit;padding: 0px;" id="bibtex-info">
  @article{zhao2019ordinal,
      title={Ordinal Multi-task Part Segmentation with Recurrent Prior Generation},
      author={Zhao, Yifan and Li, Jia and Zhang, Yu and Song, Yafei and Tian, Yonghong},
      journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
      year={2019},
      publisher={IEEE}
}</pre>
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