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TemplateFree: product detection on retail store shelves

https://doi.org/10.1002/tee.23051
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11744023_32openalex-snapshot
SURF: Speeded Up Robust Features
inferredcites →https://doi.org/10.1007/978-3-319-10605-2_29openalex-snapshot
Recognizing Products: A Per-exemplar Multi-label Image Classification Approach
inferredcites →https://doi.org/10.1007/978-3-319-68560-1_61openalex-snapshot
Product Recognition in Store Shelves as a Sub-Graph Isomorphism Problem
inferredcites →https://doi.org/10.1007/978-3-642-21303-8_5openalex-snapshot
Indoor Navigation and Product Recognition for Blind People Assisted Shopping
inferredcites →https://doi.org/10.1016/s0898-1221(96)90463-0openalex-snapshot
Advances in neural information processing systems 7
inferredcites →https://doi.org/10.1016/s0925-5273(98)00134-0openalex-snapshot
A study on shelf space allocation and management
inferredcites →https://doi.org/10.1109/cvpr.2001.990517openalex-snapshot
Rapid object detection using a boosted cascade of simple features
inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-snapshot
Histograms of Oriented Gradients for Human Detection
inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2016.649openalex-snapshot
Zero-Shot Learning via Joint Latent Similarity Embedding
inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot
You Only Look Once: Unified, Real-Time Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2017.473openalex-snapshot
Semantic Autoencoder for Zero-Shot Learning
inferredcites →https://doi.org/10.1109/cvpr.2017.690openalex-snapshot
YOLO9000: Better, Faster, Stronger
inferredcites →https://doi.org/10.1109/cvprw.2010.5543576openalex-snapshot
Toward real-time grocery detection for the visually impaired
inferredcites →https://doi.org/10.1109/iccisci.2012.6297170openalex-snapshot
A prototype of Halal product recognition system
inferredcites →https://doi.org/10.1109/iccv.2015.169openalex-snapshot
Fast R-CNN
inferredcites →https://doi.org/10.1109/iccv.2015.313openalex-snapshot
Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks
inferredcites →https://doi.org/10.1109/iccvw.2015.77openalex-snapshot
Fine-Grained Product Class Recognition for Assisted Shopping
inferredcites →https://doi.org/10.1109/icsem.2012.14openalex-snapshot
Customer Experience Management
inferredcites →https://doi.org/10.1109/icves.2011.5983807openalex-snapshot
Image-based seat belt detection
inferredcites →https://doi.org/10.1109/tsmc.1979.4310076openalex-snapshot
A Threshold Selection Method from Gray-Level Histograms
inferredcites →https://doi.org/10.1145/1873951.1874293openalex-snapshot
Mobile product recognition
inferredcites →https://doi.org/10.1145/3240508.3240522openalex-snapshot
Fine-Grained Grocery Product Recognition by One-Shot Learning
inferredcites →https://doi.org/10.1147/jrd.2015.2394513openalex-snapshot
Using image analytics to monitor retail store shelves

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4890491openalex-extracted
Retail Product Recognition: A Combination of Yolov8 and Modified Self-Supervised Learning
inferred← citeshttps://doi.org/10.1007/978-981-97-1313-4_2openalex-snapshot
Smart Rack System Using AI
inferred← citeshttps://doi.org/10.1007/s11042-022-12872-6openalex-snapshot
Lightweight identification of retail products based on improved convolutional neural network
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124635openalex-snapshot
Shelf Management: A deep learning-based system for shelf visual monitoring
inferred← citeshttps://doi.org/10.1016/j.imavis.2022.104571openalex-snapshot
Advances in deep learning-based image recognition of product packaging
inferred← citeshttps://doi.org/10.1108/ijopm-04-2021-0262openalex-snapshot
Omni-channel integration: the matter of information and digital technology
inferred← citeshttps://doi.org/10.1109/access.2024.3361675openalex-snapshot
BP-YOLO: A Real-Time Product Detection and Shopping Behaviors Recognition Model for Intelligent Unmanned Vending Machine
inferred← citeshttps://doi.org/10.1109/rtsi61910.2024.10761839openalex-snapshot
Exploring Fine-Grained Retail Product Discrimination with Zero-Shot Object Classification Using Vision-Language Models
inferred← citeshttps://doi.org/10.1155/2022/4916818openalex-snapshot
Hybrid Approach for Shelf Monitoring and Planogram Compliance (Hyb-SMPC) in Retails Using Deep Learning and Computer Vision
inferred← citeshttps://doi.org/10.3390/a17110525openalex-snapshot
You Only Look Once Version 5 and Deep Simple Online and Real-Time Tracking Algorithms for Real-Time Customer Behavior Tracking and Retail Optimization
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