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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …