Clothing key points location and attribute prediction algorithm based on mixed domain attention mechanism.

LEI Dongdong, W Junying, D Fangmin… - Journal of Donghua …, 2022 - search.ebscohost.com
Aiming at the problem that clothing deformation and complex posture of models affect the
accuracy of clothing visual analysis, an algorithm of clothing key points location and attribute …

Task-aware attention model for clothing attribute prediction

S Zhang, Z Song, X Cao, H Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Clothing attribute recognition, especially in unconstrained street images, is a challenging
task for multimedia. Existing methods for multi-task clothing attribute prediction often ignore …

Hierarchical semantic classification and attribute relations analysis with clothing region detection

J Zhou, Z Zhou, L Zhang - Advanced Multimedia and Ubiquitous …, 2016 - Springer
Describing semantic attributes of clothing is an important technique for many applications. In
this paper, we investigate problems of predicting the high-level semantic attributes by …

Multi-keypoints matching network for clothing detection

Y Li, W Zhang, M Wu, D Zhang, Z Wang, C You - The Visual Computer, 2024 - Springer
Clothing detection is a hot research focus as its application of identifying the specific
category of clothing, such as long-sleeved and short-sleeved. Image-based clothing …

[PDF][PDF] A Landmark-free Attention Network for Fashion Clothes Classification and Attribute Prediction

S Majuran, A Ramanan - csc.jfn.ac.lk
In recent years, with the rapid growth of e-commerce and fashion-based applications, the
visual fashion clothing analysis has gained more attention. An evolving technique for …

Clothing attribute recognition via a holistic relation network

D Wu, Z Li, J Zhou, J Gan, W Gao… - International Journal of …, 2022 - Wiley Online Library
Clothing attribute prediction is a fundamental image classification task in the field of
computer vision. Motivated by the human recognition system, we investigate the task …

Clothing Parsing Based on Multi-Scale Fusion and Improved Self-Attention Mechanism.

C Nuo, W Shaoyu, LU Ran… - Journal of Donghua …, 2023 - search.ebscohost.com
Due to the lack of long-range association and spatial location information, fine details and
accurate boundaries of complex clothing images cannot always be obtained by using the …

[HTML][HTML] FFENet: frequency-spatial feature enhancement network for clothing classification

F Yu, H Li, Y Shi, G Tang, Z Chen, M Jiang - PeerJ Computer Science, 2023 - peerj.com
Clothing analysis has garnered significant attention, and within this field, clothing
classification plays a vital role as one of the fundamental technologies. Due to the inherent …

A Structured Feature Learning Model for Clothing Keypoints Localization

R He, Y Su, T Peng, J Chen, Z Zhang, X Hu - MultiMedia Modeling: 27th …, 2021 - Springer
Visual fashion analysis has attracted many attentions in the recent years. Especially, as a
fundamental technology, clothing keypoints localization has great application potential …

A multi-staged feature-attentive network for fashion clothing classification and attribute prediction

M Shajini, A Ramanan - ELCVIA: Electronic Letters on Computer Vision …, 2021 - ddd.uab.cat
In the visual fashion clothing analysis, many researchers are attracted with the success of
deep learning concepts. In this work, we introduce a multi-staged feature-attentive network …