Intelligent Clothing Matching Based on Feature Analysis

D Jia - 2022 14th International Conference on Measuring …, 2022 - ieeexplore.ieee.org
Clothing feature analysis based on traditional image content feature retrieval cannot express
the deep semantic features of the image, so this paper proposes an intelligent method of …

CLDM: A clothing landmark detector based on mask R-CNN

T Yang, Y Shi, H Huang - Proceedings of the 2020 9th International …, 2020 - dl.acm.org
Due to the huge market related with clothing, the clothing fashion analysis is receiving more
and more attentions from both industry and academia. Because of the shooting conditions …

AABLSTM: a novel multi-task based CNN-RNN deep model for fashion analysis

X Zhang, M Shen, X Li, X Wang - ACM Transactions on Multimedia …, 2023 - dl.acm.org
With the rapid growth of online commerce and fashion-related applications, visual clothing
analysis and recognition has become a hotspot in computer vision. In this paper, we …

[HTML][HTML] An improved landmark-driven and spatial–channel attentive convolutional neural network for fashion clothes classification

M Shajini, A Ramanan - The Visual Computer, 2021 - Springer
Fashion clothes classification encompasses spotting and identifying items of clothing in an
image. This area of research has involved using deep neural networks to make an impact in …

Clothing classification based on channel attention and token labeling

L Li, S Wang, Z Huang, M Han… - 2023 8th International …, 2023 - ieeexplore.ieee.org
With the rapid development of e-commerce platforms, people need to classify massive
clothing in a more detailed manner. However, existing models like CNN-based methods are …

Texture and shape biased two-stream networks for clothing classification and attribute recognition

Y Zhang, P Zhang, C Yuan… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Clothes category classification and attribute recognition have achieved distinguished
success with the development of deep learning. People have found that landmark detection …

Prediction of Outfit Compatibility Based on Weighted Multimodal Fusion

Y Li, X Fu, Y Du - 2022 International Conference on Computer …, 2022 - books.google.com
Owing to the influence of too many complex factors between items, it is difficult to outfit
compatibility. Although the current outfit compatibility technology has good results, however …

A novel clothing attribute representation network-based self-attention mechanism

Y Chun, C Wang, M He - IEEE Access, 2020 - ieeexplore.ieee.org
As highly increasing of on-line fashions retail industry, automatic recognition and
representation of clothing items have huge potentials. With the help of deep learning …

Joint clothes detection and attribution prediction via anchor-free framework with decoupled representation transformer

F Zeng, M Zhao, Z Zhang, S Gao, L Cheng - Proceedings of the 31st …, 2022 - dl.acm.org
Clothes attribution prediction is the key technology for users to automatically describe
clothing characteristics. Most current methods are first to detect the multiple clothes, and …

[引用][C] An optimized clothing classification algorithm based on residual convolutional neural network

Z ZHANG, C ZHOU, Y LIANG - Computer Engineering & Science, 2018