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Web-Based Model for Apparel Classification

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-10590-1_53openalex-extracted

Visualizing and Understanding Convolutional Networks

inferredcites →https://doi.org/10.1007/978-3-642-33712-3_44openalex-extracted

Describing Clothing by Semantic Attributes

inferredcites →https://doi.org/10.1007/978-3-642-37447-0_25openalex-extracted

Apparel Classification with Style

inferredcites →https://doi.org/10.1109/cvpr.2012.6248110openalex-extracted

Multi-column deep neural networks for image classification

inferredcites →https://doi.org/10.1109/tpami.2013.50openalex-extracted

Representation Learning: A Review and New Perspectives

inferredcites →https://doi.org/10.1145/3065386openalex-extracted

ImageNet classification with deep convolutional neural networks

What points at this work

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

inferred← citeshttps://doi.org/10.1016/j.autcon.2021.104005openalex-snapshot

Smart archiving of energy and petroleum projects utilizing big data analytics

inferred← citeshttps://doi.org/10.1016/j.matpr.2020.10.072openalex-snapshot

Implementation of online and offline product selection system using FCNN deep learning: Product analysis

inferred← citeshttps://doi.org/10.2118/207365-msopenalex-snapshot

Smart Archive Generation Using Computer Vision, NLP and Big Data

inferred← citeshttps://doi.org/10.3390/sym12060984openalex-snapshot

Garment Categorization Using Data Mining Techniques

inferred← citeshttps://doi.org/10.70675/3938cf2fzb3a5z4848zb783z91577ba5b481openalex-snapshot

Big data management using artificial intelligence in the apparel supply chain : opportunities and challenges

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