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<div><b><span style="font-size: 11pt; font-family: Calibri, Helvetica, sans-serif">ECCV 2020 - Call for Participants - 3rd Probabilistic Object Detection (PrOD) Challenge</span></b></div>
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<span>The Australian Centre for Robotic Vision is pleased be running the third iteration of their first robotic vision challenge on probabilistic object detection. In the probabilistic object detection (PrOD) challenge, participants have to detect objects in
video data and provide accurate estimates of spatial and semantic uncertainty. High performing competitors in this iteration of the challenge will be invited to present their work online at our ECCV 2020 Workshop
<a href="https://nikosuenderhauf.github.io/roboticvisionchallenges/eccv2020" target="_blank">
<span style="color:blue">Beyond mAP: Reasessing the Evaluation of Object Detectors</span></a> and receive a monetary prize.</span></p>
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<span>To compete in the challenge and for the full challenge details, please see our competition website (<a href="https://competitions.codalab.org/competitions/20597" target="_blank"><span style="color:blue">https://competitions.codalab.org/competitions/20597</span></a>)</span></p>
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<b><span>Important Dates</span></b></p>
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<span>=============</span></p>
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<u><span style="font-size:12.0pt; font-family:"Times New Roman",serif">Final Detection Submissions Due</span></u><span style="font-size:12.0pt; font-family:"Times New Roman",serif"> - 14th July 2020 Midnight UTC</span><span></span></li><li style="margin:0in 0in 8pt; line-height:107%; font-size:11pt; font-family:"Calibri",sans-serif; line-height:106%; mso-list:l0 level1 lfo1">
<u><span style="font-size:12.0pt; font-family:"Times New Roman",serif">Final Paper Submissions Due</span></u><span style="font-size:12.0pt; font-family:"Times New Roman",serif"> - 21st July 2020 Midnight UTC</span><span></span></li><li style="margin:0in 0in 8pt; line-height:107%; font-size:11pt; font-family:"Calibri",sans-serif; line-height:106%; mso-list:l0 level1 lfo1">
<u><span style="font-size:12.0pt; font-family:"Times New Roman",serif">Winner Announcements and Workshop Invitations Sent</span></u><span style="font-size:12.0pt; font-family:"Times New Roman",serif"> - 28th July 2020</span><span></span></li><li style="margin:0in 0in 8pt; line-height:107%; font-size:11pt; font-family:"Calibri",sans-serif; line-height:106%; mso-list:l0 level1 lfo1">
<u><span style="font-size:12.0pt; font-family:"Times New Roman",serif">ECCV Workshop (online)</span></u><span style="font-size:12.0pt; font-family:"Times New Roman",serif"> - 28th August 2020</span><span></span></li></ul>
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<b><span>Overview</span></b></p>
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<span>========</span></p>
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<span>To aid in developing computer vision systems that can be easily applied to a robotics domain, our challenge encourages development of probabilistic object detection systems that provide meaningful estimates of both spatial and semantic uncertainty. This
enable object detection to be utilised like any other sensor within already trusted Bayesian fusion frameworks</span></p>
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<span>In contrast to traditional object detection challenges (such as COCO), our challenge evaluates detections using the new probability-based detection quality (PDQ) measure which rewards accurate uncertainty estimates, and penalises both overconfident and
underconfident detections. </span></p>
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<span>Within the challenge, competitors will detect 30 classes of object in over 56,000 images from 18 high-fidelity simulated video sequences spanning 3 unique environments viewed at 3 different simulated robot heights with both day and night lighting conditions.</span></p>
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<span>As well as the ECCV 2020 PrOD challenge, we have a continuous evaluation server available for those who want to develop work in this field of research.</span></p>
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<span>We invite anyone who is interested in object detection and appreciates a good challenge to please participate and compete in the competition so that we may continue to push the state-of-the-art in object detection in directions more suited to robotics
applications.</span></p>
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<span>ECCV 2020 PrOD Competition: <a href="https://competitions.codalab.org/competitions/20597" target="_blank">
<span style="color:blue">https://competitions.codalab.org/competitions/20597</span></a></span></p>
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<span>Continuous PrOD Challenge: <a href="https://competitions.codalab.org/competitions/20595" target="_blank">
<span style="color:blue">https://competitions.codalab.org/competitions/20595</span></a></span></p>
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<b><span>Contact Details</span></b></p>
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<span>============</span></p>
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<span>E-mail: <a href="mailto:contact@roboticvisionchallenge.org" target="_blank">
<span style="color:blue">contact@roboticvisionchallenge.org</span></a><br>
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Slack: <a href="https://tinyurl.com/rvcslack" target="_blank">https://tinyurl.com/rvcslack</a><br>
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<span>Twitter: @RobVisChallenge</span></p>
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<span>Website: roboticvisionchallenge.org</span></p>
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