Methods › Computer Vision › Cashier-Free Shopping › Grab
Grab
Introduced by Xiaochen Liu et al. in Grab: Fast and Accurate Sensor Processing for Cashier-Free Shopping
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Grab is a sensor processing system for cashier-free shopping. Grab needs to accurately identify and track customers, and associate each shopper with items he or she retrieves from shelves. To do this, it uses a keypoint-based pose tracker as a building block for identification and tracking, develops robust feature-based face trackers, and algorithms for associating and tracking arm movements. It also uses a probabilistic framework to fuse readings from camera, weight and RFID sensors in order to accurately assess which shopper picks up which item.
Papers archive 2025-07-28
6 shown of 6, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Revealing Hidden Mechanisms of Cross-Country Content Moderation with Natural Language Processing 7 Mar 2025 · 1 repository · arXiv:2503.05280
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Spatial Entity Resolution between Restaurant Locations and Transportation Destinations in Southeast Asia 16 Jan 2024 · 0 repositories · arXiv:2401.08537
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Conditional Expectation based Value Decomposition for Scalable On-Demand Ride Pooling 1 Dec 2021 · 0 repositories · arXiv:2112.00579
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Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload 23 Mar 2021 · 0 repositories · arXiv:2103.12465
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Understanding the Dynamics of Drivers' Locations for Passengers Pickup Performance: A Case Study 9 Sep 2020 · 0 repositories · arXiv:2009.04108
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Grab: Fast and Accurate Sensor Processing for Cashier-Free Shopping 4 Jan 2020 · 0 repositories · arXiv:2001.01033
Tasks archive 2025-07-28
4 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Clustering | 1 |
| Decision Making | 1 |
| Entity Resolution | 1 |
| Fake News Detection | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections