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<span class="im" style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: small; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;">
<div dir="ltr" style="text-align: left; text-indent: 0px; background-color: rgb(255, 255, 255); font-family: Aptos, Arial, Helvetica, sans-serif; font-size: 12pt;"><span style="color: rgb(0, 0, 0);">Call for papers and
participations to challenges in the</span><span style="color: rgb(0, 120, 215);"><a href="https://wacv.thecvf.com/" title="https://wacv.thecvf.com/" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://wacv.thecvf.com/&source=gmail&ust=1763108662077000&usg=AOvVaw2-pxWrdQM6Wq0tinvY_YdT" style="color: rgb(0, 120, 215); text-align: left;"> IEEE/CVF
Winter Conference on Applications of Computer Vision (WACV)
2026</a></span><span style="color: rgb(0, 0, 0);"> - 3rd
Physical Retail AI Workshop (PRAW)! <br>
<br>
<b>WACV 2026 - 3rd Physical Retail AI Workshop (PRAW)</b><br>
<img data-emoji="🌐" class="an1" alt="🌐" aria-label="🌐" draggable="false" src="https://fonts.gstatic.com/s/e/notoemoji/16.0/1f310/32.png" style="height: 1.2em; width: 1.2em; vertical-align: middle;"><span> </span>Workshop
website:<span> </span></span><span style="color: rgb(0, 120, 215);"><a href="https://grocery-vision.github.io/" title="https://grocery-vision.github.io/" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://grocery-vision.github.io/&source=gmail&ust=1763108662078000&usg=AOvVaw3gN4RKcfYitU7T7_ffExCk" style="color: rgb(0, 120, 215); text-align: left;">https://grocery-vision.github.<wbr>io</a></span><span style="color: rgb(0, 0, 0);"><br>
<img data-emoji="🕑" class="an1" alt="🕑" aria-label="🕑" draggable="false" src="https://fonts.gstatic.com/s/e/notoemoji/16.0/1f551/32.png" style="height: 1.2em; width: 1.2em; vertical-align: middle;"><span> </span>Time
and date: March 6-7, 2026 - Tucson, Arizona, USA<br>
<br>
<br>
<b>Important dates</b><br>
<br>
<u>Workshop Paper Submissions:</u><br>
</span><span style="color: rgb(0, 0, 0); background-color: rgb(255, 255, 255);">Paper
Submission website:<span> </span></span><span style="color: rgb(0, 120, 212); background-color: rgb(255, 255, 255);"><a href="https://openreview.net/group?id=thecvf.com/WACV/2026/Workshop/PRAW" title="https://openreview.net/group?id=thecvf.com/WACV/2026/Workshop/PRAW" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://openreview.net/group?id%3Dthecvf.com/WACV/2026/Workshop/PRAW&source=gmail&ust=1763108662078000&usg=AOvVaw1DK0cNyuYQHjVXPFOsqVEc" style="color: rgb(0, 120, 212);">https://openreview.net/group?<wbr>id=thecvf.com/WACV/2026/<wbr>Workshop/PRAW</a></span><span style="color: rgb(0, 0, 0); background-color: rgb(255, 255, 255);"><br>
<img data-emoji="📅" class="an1" alt="📅" aria-label="📅" draggable="false" src="https://fonts.gstatic.com/s/e/notoemoji/16.0/1f4c5/32.png" style="height: 1.2em; width: 1.2em; vertical-align: middle;"><span> </span>Paper
submission deadline: 12/19/2025 (23:59 anywhere on earth)<br>
<img data-emoji="📅" class="an1" alt="📅" aria-label="📅" draggable="false" src="https://fonts.gstatic.com/s/e/notoemoji/16.0/1f4c5/32.png" style="height: 1.2em; width: 1.2em; vertical-align: middle;"><span> </span>Notification
of acceptance: 12/26/2025</span><span style="color: rgb(0, 0, 0);"><br>
<img data-emoji="📅" class="an1" alt="📅" aria-label="📅" draggable="false" src="https://fonts.gstatic.com/s/e/notoemoji/16.0/1f4c5/32.png" style="height: 1.2em; width: 1.2em; vertical-align: middle;"><span> </span>Camera-ready
deadline: 1/09/2026<br>
<br>
<br>
<u>Grocery Vision Challenges (GV26):</u><br>
Challenge website:<span> </span></span><span style="color: rgb(0, 120, 215);"><a href="https://grocery-vision.github.io/" title="https://grocery-vision.github.io/" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://grocery-vision.github.io/&source=gmail&ust=1763108662078000&usg=AOvVaw3gN4RKcfYitU7T7_ffExCk" style="color: rgb(0, 120, 215); text-align: left;">https://grocery-vision.github.<wbr>io</a></span></div>
</span>
<div dir="ltr" style="color: rgb(34, 34, 34); font-size: small; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; text-align: left; background-color: rgb(255, 255, 255); font-family: Aptos, Arial, Helvetica, sans-serif;"><span style="font-size: 12pt; color: rgb(0, 120, 215);"><b>Track 3
participation on Kaggle</b>:<span> </span></span><span style="font-size: 16px; color: rgb(0, 120, 215);"><a href="https://www.kaggle.com/competitions/physical-retail-ai-workshop-track-3-wacv-2026" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.kaggle.com/competitions/physical-retail-ai-workshop-track-3-wacv-2026&source=gmail&ust=1763108662078000&usg=AOvVaw1pg38rZ_QcrZupWoGKrn-c" style="color: rgb(0, 120, 215); text-align: left;">https://www.kaggle.com/<wbr>competitions/physical-retail-<wbr>ai-workshop-track-3-wacv-2026</a></span><span class="im" style="color: inherit;"><span style="font-size: 12pt; color: rgb(0, 120, 215);"><br>
</span><span style="font-size: 12pt;">To register for
participation: please send email to<span> </span></span><span style="font-size: 12pt; color: rgb(0, 120, 215);"><a href="mailto:retailvision4challenge@amazon.com" title="mailto:retailvision4challenge@amazon.com" target="_blank" style="color: rgb(0, 120, 215); text-align: left;">retailvision4challenge@amazon.<wbr>com</a></span></span><span style="font-size: 12pt; color: rgb(0, 0, 0);"><br>
<br>
<img data-emoji="💪" class="an1" alt="💪" aria-label="💪" draggable="false" src="https://fonts.gstatic.com/s/e/notoemoji/16.0/1f4aa/32.png" style="height: 1.2em; width: 1.2em; vertical-align: middle;"><span> </span>challenge
registration deadline and training data release: 12/12/2025<br>
<img data-emoji="💪" class="an1" alt="💪" aria-label="💪" draggable="false" src="https://fonts.gstatic.com/s/e/notoemoji/16.0/1f4aa/32.png" style="height: 1.2em; width: 1.2em; vertical-align: middle;"><span> </span>challenge
results submission deadline: 01/16/2026<span class="im" style="color: inherit;"><br>
<img data-emoji="💪" class="an1" alt="💪" aria-label="💪" draggable="false" src="https://fonts.gstatic.com/s/e/notoemoji/16.0/1f4aa/32.png" style="height: 1.2em; width: 1.2em; vertical-align: middle;"><span> </span>challenge
winner notification: 01/30/2026<br>
<br>
<b>Overview</b><br>
<br>
The Physical Retail AI workshop in WACV 2026 connects
researchers and practitioners interested in the way computer
vision is shaping the world of retail. We are now accepting
paper submissions and challenge participants. <br>
<br>
<br>
<u>About the Physical Retail AI Workshop</u>:<br>
This is the 3rd installment of the Physical Retail AI
Workshop, which focuses on the unique challenges and
opportunities that arise when applying computer vision and
machine learning to the physical retail domain. This is the
3rd year of the workshop in WACV, building on top of successes
in WACV 2025 and WACV 2024. In this year, we have new
collaboration between<span> </span><b>Amazon</b> and<span> </span><b>Standard
AI</b>, where we<span> </span><b>co-organize the workshop
and share 2 public datasets, namely the<span> </span></b></span></span><span style="font-size: 12pt; color: rgb(0, 120, 215);"><b><a href="https://grocery-vision.github.io/overview.html" title="https://grocery-vision.github.io/overview.html" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://grocery-vision.github.io/overview.html&source=gmail&ust=1763108662078000&usg=AOvVaw30mOfO0aXnSfnoc9lMgJzA" style="color: rgb(0, 120, 215);">Grocery Vision</a></b></span><span style="font-size: 12pt; color: rgb(0, 0, 0);"><b> dataset from
Amazon, as well as the<span> </span></b></span><span style="font-size: 12pt; color: rgb(0, 120, 215);"><b><a href="https://huggingface.co/datasets/standard-cognition/RetailAction" title="https://huggingface.co/datasets/standard-cognition/RetailAction" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://huggingface.co/datasets/standard-cognition/RetailAction&source=gmail&ust=1763108662078000&usg=AOvVaw3SIHI4wYTH_U8zQ1RE81y_" style="color: rgb(0, 120, 215);">RetailAction</a></b></span><span style="font-size: 12pt; color: rgb(0, 0, 0);"><b> dataset from
Standard AI</b>. And we have<span> </span><b>3 challenges to
participate in Grocery Vision Challenge (GV26)</b>. See
details for challenge section. <span class="im" style="color: inherit;"><br>
<br>
<br>
<u>About the Grocery Vision Challenge (GV26)</u><br>
The Grocery Vision Challenge is a yearly challenge, aims to
bring together computer vision and AI scientists from both
academic and industry backgrounds, focusing on pioneering
advancements in physical retail AI, particularly within the
grocery sector. In 2026, we will have 3 tracks of challenges: </span></span></div>
<ul style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: small; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; text-align: left; background-color: rgb(255, 255, 255);">
<span class="im" style="color: inherit;">
<li style="margin-left: 15px; font-family: Aptos, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);"><b>Track
1: Shopping Cart Video Temporal Action Localization (SC-TAL)
and Spatial Temporal Action Localization (SC-STAL)</b></li>
<li style="margin-left: 15px; font-family: Aptos, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);"><b>Track
2: Multi-modal Product Retrieval (MPR)</b>. </li>
</span>
<li style="margin-left: 15px; font-family: Aptos, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);"><b>Track
3: Top-View Spatial Temporal Action Localization (TV-STAL) -
hosted on Kaggle:<span> </span></b><a href="https://www.kaggle.com/competitions/physical-retail-ai-workshop-track-3-wacv-2026" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.kaggle.com/competitions/physical-retail-ai-workshop-track-3-wacv-2026&source=gmail&ust=1763108662078000&usg=AOvVaw1pg38rZ_QcrZupWoGKrn-c" style="color: rgb(17, 85, 204);">https://www.kaggle.com/<wbr>competitions/physical-retail-<wbr>ai-workshop-track-3-wacv-2026</a></li>
</ul>
<div style="color: rgb(34, 34, 34); font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; text-align: left; background-color: rgb(255, 255, 255); font-family: Aptos, Arial, Helvetica, sans-serif; font-size: 12pt;"><span class="im" style="color: inherit;"><span style="color: rgb(0, 0, 0);">The GV challenges were organized
in WACV24 (part of 1st Physical Retail AI Workshop), CVPR 2024
(part of RetailVision workshop), WACV 2025 (part of 2nd
Physical Retail AI workshop), and ICCV 2025 (part of
RetailVision workshop). See more details:<span> </span></span><span style="color: rgb(0, 120, 215);"><a href="https://grocery-vision.github.io/" title="https://grocery-vision.github.io/" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://grocery-vision.github.io/&source=gmail&ust=1763108662078000&usg=AOvVaw3gN4RKcfYitU7T7_ffExCk" style="color: rgb(0, 120, 215); text-align: left;">https://grocery-vision.github.<wbr>io</a></span><span style="color: rgb(0, 0, 0);"><br>
<br>
Best regards,<br>
<br>
<b>WACV 2026 Physical Retail AI Workshop (PRAW) Organizers<br>
<br>
</b></span></span><span class="im" style="color: inherit;">Rocco
Pietrini (Mercatorum University)</span><br>
<span class="im" style="color: inherit;">Bruno Abbate (Standard
AI)<br>
David Woollard (Standard AI)<br>
Davide Mazzini (Standard AI)<br>
Quanfu Fan (Amazon Worldwide Grocery Stores)<br>
Sean Ma (Amazon Worldwide Grocery Stores)<br>
Shun Miao (Amazon Worldwide Grocery Stores)<br>
Weijian Li (Amazon Worldwide Grocery Stores)</span></div>
<br>
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