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Multi-Task Learning and Gender-Aware Fashion Recommendation System Using Deep Learning

https://doi.org/10.3390/electronics12163396

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-01225-0_30openalex-snapshot

Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)

inferredcites →https://doi.org/10.1007/978-3-319-12568-8_63openalex-snapshot

How Fashion Talks: Clothing-Region-Based Gender Recognition

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

Describing Clothing by Semantic Attributes

inferredcites →https://doi.org/10.1007/s11042-021-11837-5openalex-snapshot

Multi Clustering Recommendation System for Fashion Retail

inferredcites →https://doi.org/10.1016/j.elerap.2007.02.010openalex-snapshot

Online consumer-to-consumer market in China – A comparative study of Taobao and eBay

inferredcites →https://doi.org/10.1016/j.matpr.2021.06.325openalex-snapshot

A location based novel recommender framework of user interest through data categorization

inferredcites →https://doi.org/10.1080/17543266.2021.1931476openalex-snapshot

A review of digital fashion research: before and beyond communication and marketing

inferredcites →https://doi.org/10.1109/cvpr.2005.202openalex-snapshot

Learning a Similarity Metric Discriminatively, with Application to Face Verification

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2019.00548openalex-snapshot

DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images

inferredcites →https://doi.org/10.1109/cvpr52729.2023.00721openalex-snapshot

YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors

inferredcites →https://doi.org/10.1109/iccv.2017.283openalex-snapshot

Deep Metric Learning with Angular Loss

inferredcites →https://doi.org/10.1109/iccv.2017.322openalex-snapshot

Mask R-CNN

inferredcites →https://doi.org/10.1109/lsp.2018.2822810openalex-snapshot

Additive Margin Softmax for Face Verification

inferredcites →https://doi.org/10.1109/tpami.2007.70800openalex-snapshot

Evaluation of Gender Classification Methods with Automatically Detected and Aligned Faces

inferredcites →https://doi.org/10.1142/9789812797926_0003openalex-snapshot

SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORK

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

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1145/3240508.3240646openalex-snapshot

Interpretable Multimodal Retrieval for Fashion Products

inferredcites →https://doi.org/10.1145/3331184.3331242openalex-snapshot

Interpretable Fashion Matching with Rich Attributes

inferredcites →https://doi.org/10.1145/3442381.3449986openalex-snapshot

Interest-aware Message-Passing GCN for Recommendation

inferredcites →https://doi.org/10.1145/3490477openalex-snapshot

Feature-Level Attentive ICF for Recommendation

inferredcites →https://doi.org/10.1609/aimag.v42i3.18139openalex-snapshot

Recommender systems: Past, present, future

inferredcites →https://doi.org/10.2991/aebmr.k.220404.042openalex-snapshot

Analyzing on the Going Global Marketing Strategy–Taking Shein as an Example

inferredcites →https://doi.org/10.33436/v31i4y202110openalex-snapshot

Design and implementation of clothing fashion style recommendation system using deep learning

inferredcites →https://doi.org/10.3390/electronics9030508openalex-snapshot

Development of Fashion Product Retrieval and Recommendations Model Based on Deep Learning

inferredcites →https://doi.org/10.3390/informatics8030049openalex-snapshot

Fashion Recommendation Systems, Models and Methods: A Review

inferredcites →https://doi.org/10.3390/pr10071427openalex-snapshot

An Intelligent Gender Classification System in the Era of Pandemic Chaos with Veiled Faces

inferredcites →https://doi.org/10.3390/sym11060770openalex-snapshot

Automatic Gender Classification through Face Segmentation

inferredcites →https://doi.org/10.48550/arxiv.1905.00953openalex-snapshot

Omni-Scale Feature Learning for Person Re-Identification

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-69769-2_19openalex-snapshot

Fashion Product Recommendation System Using CNN-Based ResNet50 Model

inferred← citeshttps://doi.org/10.1007/978-3-032-15780-5_8openalex-snapshot

Gender-Aware or Gender-Blind Fashion Recommendation Systems: A State-of-the-Art Review and Future Agenda

inferred← citeshttps://doi.org/10.1007/978-981-96-9716-8_7openalex-snapshot

Personalized AI-Based Outfit Recommendation System

inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104282openalex-snapshot

SBlur: An Obfuscation Approach for Preserving Sensitive Attributes in Recommender System

inferred← citeshttps://doi.org/10.1038/s41598-026-45673-0openalex-snapshot

Teaching activity design and psychological practice of music majors under a convolutional neural network and transformer module

inferred← citeshttps://doi.org/10.1109/iacis65746.2025.11210943openalex-snapshot

Ensemble Genetic -Flower Pollination Techniques for an Effective Clothing Design

inferred← citeshttps://doi.org/10.1109/icccnt61001.2024.10724502openalex-snapshot

Efficiency of Architectural Innovations in Deep Learning for Enhanced Age Prediction and Gender Classification

inferred← citeshttps://doi.org/10.1109/icccnt61001.2024.10724655openalex-snapshot

Fashion Recommendation System for E-Commerce using Deep Learning Algorithms

inferred← citeshttps://doi.org/10.1145/3772900.3772951openalex-snapshot

Research on the Application of a Product Recommendation System under the C2C E-Commerce Model

inferred← citeshttps://doi.org/10.3390/app16041830openalex-snapshot

Condition-Wise Robustness of Skeleton-Based Gait Sex Classification Under Smartphone Use, Occlusion, and Speed Variations

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