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<div><b><span style="font-size:12pt; color:black; font-family:Calibri,Helvetica,sans-serif">Call for Papers Extension:
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<div><b><span style="font-size:12pt; color:black; font-family:Calibri,Helvetica,sans-serif">ECCV 2020 Workshop - Beyond mAP: Reassessing the Evaluation of Object Dete<b><span>ctors</span></b><br>
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<div><b><span style="font-size:12pt; color:black; font-family:Calibri,Helvetica,sans-serif">3rd Probabilistic Object Detection (PrOD) Challenge</span></b><span style="font-size:12.0pt; color:black"></span></div>
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<b><u><span style="font-size:12.0pt; color:black">Workshop link</span></u></b><span style="font-size:12.0pt; color:black">
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<span style="font-size:12.0pt; color:black"><a href="https://nikosuenderhauf.github.io/roboticvisionchallenges/eccv2020" target="_blank" rel="noopener noreferrer"><span style="color:blue">https://nikosuenderhauf.github.io/roboticvisionchallenges/eccv2020</span></a><br>
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<b><u><span style="font-size:12.0pt; color:black">Challenge link</span></u></b><span style="font-size:12.0pt; color:black">
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<span style="font-size:12.0pt; color:black"><a href="https://competitions.codalab.org/competitions/20597" target="_blank" rel="noopener noreferrer"><span style="color:blue">https://competitions.codalab.org/competitions/20597</span></a></span><br>
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<span style="font-size:12.0pt; color:black">We are pleased to announce an extension to the deadlines of both our ECCV 2020 workshop and associated Probabilistic Object Detection (PrOD) Challenge. Updated dates and workshop/challenge details below.</span></p>
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<b><u><span style="font-size:12.0pt; color:black">New Dates</span></u></b><span style="font-size:12.0pt; color:black"></span></p>
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<li><u>Final Challenge Submission</u> - 05 August 2020 Midnight UTC</li><li><u>Paper Submission (workshop and challenge)</u> - 07 August 2020 Midnight UTC</li><li><u>Paper + Competition Results</u> - 12 August 2020</li><li><u>Videos for Workshop Due</u> - 20 August 2020</li><li><u>Workshop Interactive Sessions</u> - 28 August 2020 UTC+1 (exact times TBC)<br>
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<b><u><span style="font-size:12.0pt; color:black">Workshop summary</span></u></b><span style="font-size:12.0pt; color:black"></span></p>
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<span style="font-size:12.0pt; color:black">This workshop assesses current evaluation procedures for object detection, highlights their shortcomings with respect to practical applications and opens discussion for possible improvements.</span></p>
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<span style="font-size:12.0pt; color:black">Through a focus on evaluation using challenges, the object detection community has been able to quickly identify which methods are effective by examining performance metrics. However, as this technological boom progresses,
it is important to assess whether our evaluation metrics and procedures adequately align with how object detection will be used in practical applications such as robotics.
<b>Quantitative results should be easily reconciled with a detector’s performance in applied tasks.</b> This workshop provides a forum to discuss these ideas and evaluate whether current standards meet the needs of the object detection community.</span></p>
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<b><u><span style="font-size:12.0pt; color:black">Call for Papers</span></u></b><span style="font-size:12.0pt; color:black"></span></p>
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<span style="font-size:12.0pt; color:black">We invite authors to contribute papers to the workshop. Topics of interest comprise, but are not limited to:</span></p>
<ul style="margin-bottom:0in" type="disc">
<li style="margin:0in 0in 8pt; line-height:107%; font-size:11pt; font-family:"Calibri",sans-serif; color:black; line-height:normal; mso-list:l1 level1 lfo1">
<span style="font-size:12.0pt">New evaluation measures/metrics for object detection</span></li><li style="margin:0in 0in 8pt; line-height:107%; font-size:11pt; font-family:"Calibri",sans-serif; color:black; line-height:normal; mso-list:l1 level1 lfo1">
<span style="font-size:12.0pt">New evaluation/visualization tools to analyze object detection systems</span></li><li style="margin:0in 0in 8pt; line-height:107%; font-size:11pt; font-family:"Calibri",sans-serif; color:black; line-height:normal; mso-list:l1 level1 lfo1">
<span style="font-size:12.0pt">New evaluation procedures for better understanding object detection performance</span></li><li style="margin:0in 0in 8pt; line-height:107%; font-size:11pt; font-family:"Calibri",sans-serif; color:black; line-height:normal; mso-list:l1 level1 lfo1">
<span style="font-size:12.0pt">Examinations of current evaluation procedures</span></li><li style="margin:0in 0in 8pt; line-height:107%; font-size:11pt; font-family:"Calibri",sans-serif; color:black; line-height:normal; mso-list:l1 level1 lfo1">
<span style="font-size:12.0pt">New datasets designed to examine specific challenges in object detection</span></li><li style="margin:0in 0in 8pt; line-height:107%; font-size:11pt; font-family:"Calibri",sans-serif; color:black; line-height:normal; mso-list:l1 level1 lfo1">
<span style="font-size:12.0pt">New detection methods that provide contributions/insights unrewarded by current evaluation procedures (e.g. improved detector calibration, probabilistic object detection, etc.)</span></li></ul>
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<b><u><span style="font-size:12.0pt; color:black">Author Instructions</span></u></b><span style="font-size:12.0pt; color:black"></span></p>
<ul style="margin-bottom:0in" type="disc">
<li style="margin:0in 0in 8pt; line-height:107%; font-size:11pt; font-family:"Calibri",sans-serif; color:black; line-height:normal; mso-list:l0 level1 lfo2">
<span style="font-size:12.0pt">Submissions must follow the ECCV format and be up to 4 pages in length including references</span></li><li style="margin:0in 0in 8pt; line-height:107%; font-size:11pt; font-family:"Calibri",sans-serif; color:black; line-height:normal; mso-list:l0 level1 lfo2">
<span style="font-size:12.0pt">It is accepted if this is an abbreviated version of a larger paper published elsewhere if properly referenced</span></li><li style="margin:0in 0in 8pt; line-height:107%; font-size:11pt; font-family:"Calibri",sans-serif; color:black; line-height:normal; mso-list:l0 level1 lfo2">
<span style="font-size:12.0pt">Submit your paper through CMT (<a href="https://cmt3.research.microsoft.com/BMREOD2020" target="_blank" rel="noopener noreferrer"><span style="color:blue">link</span></a>)</span></li><li style="margin:0in 0in 8pt; line-height:107%; font-size:11pt; font-family:"Calibri",sans-serif; color:black; line-height:normal; mso-list:l0 level1 lfo2">
<span style="color:windowtext">Accepted papers will provide a short video outlining their work which will be part of the ECCV online workshop system (details to come in the future so stay tuned to workshop website).</span><span style="font-size:12.0pt"></span></li></ul>
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<b><u><span style="font-size:12.0pt; color:black">PrOD Competition</span></u></b><span style="font-size:12.0pt; color:black"></span></p>
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<span style="font-size:12.0pt; color:black">You may also be accepted to present your work at our conference if you perform well on the 3rd Probabilistic Object Detection (PrOD) Challenge.</span></p>
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<span style="font-size:12.0pt; color:black">This is a computer vision challenge designed to be more applicable for robotics applications where competitors must operate using video data, unusual viewing angles, and where you must
<b>estimate your</b> <b>spatial and</b><b> semantic uncertainty.</b></span></p>
<p style="margin-top:0px; margin-bottom:0px; margin:0in 0in 8pt; line-height:107%; font-size:11pt; font-family:"Calibri",sans-serif; margin-bottom:0in; margin-bottom:.0001pt; line-height:normal">
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<span style="font-size:12.0pt; color:black">Details can be found at the workshop website as well as the main competition page below.</span></p>
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<span style="font-size:12.0pt; color:black"> </span></p>
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<span style="font-size:12.0pt; color:black">(<a href="https://competitions.codalab.org/competitions/20597" target="_blank" rel="noopener noreferrer"><span style="color:blue">https://competitions.codalab.org/competitions/20597</span></a>)</span></p>
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<span style="font-size:12.0pt; color:black">If you have any questions about the workshop or the challenge don't hesitate to get in contact.</span></p>
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<span style="font-size:12.0pt; color:black">Best regards,</span></p>
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<b><span style="font-size:12.0pt; color:black">Dr David Hall</span></b><span style="font-size:12.0pt; color:black"></span></p>
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<span style="font-size:12.0pt; color:black"> </span></p>
<p style="margin-top:0px; margin-bottom:0px; margin:0in 0in 8pt; line-height:107%; font-size:11pt; font-family:"Calibri",sans-serif; margin-bottom:0in; margin-bottom:.0001pt; line-height:normal">
<span style="font-size:12.0pt; color:black">Research Fellow</span></p>
<p style="margin-top:0px; margin-bottom:0px; margin:0in 0in 8pt; line-height:107%; font-size:11pt; font-family:"Calibri",sans-serif; margin-bottom:0in; margin-bottom:.0001pt; line-height:normal">
<span style="font-size:12.0pt; color:black">Robotic Vision Benchmarking and Evaluation Project</span></p>
<p style="margin-top:0px; margin-bottom:0px; margin:0in 0in 8pt; line-height:107%; font-size:11pt; font-family:"Calibri",sans-serif; margin-bottom:0in; margin-bottom:.0001pt; line-height:normal">
<span style="font-size:12.0pt; color:black">Australian Centre for Robotic Vision</span></p>
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<span style="font-size:12.0pt; color:black">Queensland University of Technology</span></p>
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<span style="font-size:12.0pt; color:black"> </span></p>
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<span style="font-size:12.0pt; color:black">e-mail: d20.hall@qut.edu.au</span></p>
<p style="margin-top:0px; margin-bottom:0px; margin:0in 0in 8pt; line-height:107%; font-size:11pt; font-family:"Calibri",sans-serif; margin-bottom:0in; margin-bottom:.0001pt; line-height:normal">
<span style="font-size:12.0pt; color:black">Phone: +61 7 31380656</span></p>
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<span style="font-size:12.0pt; color:black">ORCiD: <a href="https://orcid.org/0000-0002-5520-0128" target="_blank" rel="noopener noreferrer">
<span style="color:blue">0000-0002-5520-0128</span></a></span></p>
<p style="margin-top:0px; margin-bottom:0px; margin:0in 0in 8pt; line-height:107%; font-size:11pt; font-family:"Calibri",sans-serif; margin-bottom:0in; margin-bottom:.0001pt; line-height:normal">
<span style="font-size:12.0pt; color:black">Website: <a href="https://sites.google.com/view/davidhallcv/home" target="_blank" rel="noopener noreferrer"><span style="color:blue">https://sites.google.com/view/davidhallcv/home</span></a></span></p>
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