Toward fashion intelligence in the big data era: State-of-the-art and future prospects

L Liu, H Zhang, D Zhou, J Shi - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Fashion, as a popular aesthetic expression, is often conveyed in a specific context, in
particular in clothing, footwear, and accessories. Attributed to its enormous economic …

Unabridged adjacent modulation for clothing parsing

D Zhang, C Zuo, Q Wu, L Fu, X Xiang - Pattern Recognition, 2022 - Elsevier
Clothing parsing has made tremendous progress in the domain of computer vision recently.
Most state-of-the-art methods are based on the encoder-decoder architecture. However, the …

Cross-domain fashion cloth retrieval via novel attention-guided cascade neural network and clothing parsing

MS Saranya, P Geetha - Computer Vision and Image Understanding, 2023 - Elsevier
Cross-domain fashion retrieval is a feasible method for finding the required clothing among
a large number of products. Computer vision-based retrieval algorithms have been …

EPYNET: Efficient pyramidal network for clothing segmentation

ADS Inacio, HS Lopes - Ieee Access, 2020 - ieeexplore.ieee.org
Soft biometrics traits extracted from a human body, including the type of clothes, hair color,
and accessories, are useful information used for people tracking and identification. Semantic …

An intelligent solution for automatic garment measurement using image recognition technologies

A Paulauskaite-Taraseviciene, E Noreika, R Purtokas… - Applied Sciences, 2022 - mdpi.com
Global digitization trends and the application of high technology in the garment market are
still too slow to integrate, despite the increasing demand for automated solutions. The main …

ClothSeg: semantic segmentation network with feature projection for clothing parsing

G Tang, F Yu, H Li, Y Shi, L Liu, T Peng, X Hu… - Journal of Visual …, 2023 - Elsevier
Semantic segmentation of clothing presents a formidable challenge owing to the non-rigid
geometric deformation properties inherent in garments. In this paper, we use the …

FashionSegNet: a model for high-precision semantic segmentation of clothing images

Z Xiang, C Zhu, M Qian, Y Shen, Y Shao - The Visual Computer, 2024 - Springer
Clothing image segmentation is a method to predict the clothing category label of each pixel
in the input image. We reduced the influence of the variability of image shots, the similarity of …

Phase Contour Enhancement Network for Clothing Parsing

F Yu, Y Zhang, H Li, CH Du, L Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Clothing parsing is a challenging task. In this task, there are two main inherent challenges,
which are the fine-grained parsing of small clothing components and the missegmentation of …

PDN: A Priori Dictionary Network for Fashion Parsing

J Hou, Y Lu, Y Yang, Z Liu - Applied Sciences, 2024 - mdpi.com
The task of fashion parsing aims to assign pixel-level labels to clothing targets; thereby,
parsing models are required to have good contextual recognition ability. However, the …

单视角三维服装重建的民族风格表征学习

张瑀卿, 刘骊, 付晓东, 刘利军, 彭玮 - 计算机辅助设计与图形学学报, 2024 - jcad.cn
针对民族服装风格多样, 款式和配饰复杂, 导致单视角三维服装重建结构不完整,
风格不准确和局部特征模糊等问题, 为了学习和映射民族服装的潜在风格特征 …