ClothingNet: Cross-domain clothing retrieval with feature fusion and quadruplet loss
Y Miao, G Li, C Bao, J Zhang, J Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Cross-domain clothing retrieval is an active research topic because of its massive potential
applications in fashion industry. Due to the large number of garment categories or styles …
applications in fashion industry. Due to the large number of garment categories or styles …
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 …
a large number of products. Computer vision-based retrieval algorithms have been …
Retrieving real world clothing images via multi-weight deep convolutional neural networks
Clothing images are abundantly available from the Internet, especially from the e-
commercial platform. Retrieving those images is of importance for commercial and social …
commercial platform. Retrieving those images is of importance for commercial and social …
Spatial constraint multiple granularity attention network for clothesretrieval
Z Luo, J Yuan, J Yang, W Wen - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Clothes retrieval is very popular on e-commerce websites, and it is still a very challenging
problem. These difficulties come from clothing deformation, variations in angle, noisy …
problem. These difficulties come from clothing deformation, variations in angle, noisy …
Clothes retrieval using M-AlexNet with mish function and feature selection using Joint Shannon's Entropy Pearson's correlation coefficient
M Murtaza, M Sharif, M Yasmin, M Fayyaz… - IEEE …, 2022 - ieeexplore.ieee.org
The online retrieval of clothes-related images is crucial because finding the exact items, like
the query image from a large amount of data, is highly challenging. However, significant …
the query image from a large amount of data, is highly challenging. However, significant …
Deep bi-directional cross-triplet embedding for cross-domain clothing retrieval
In this paper, we address two practical problems when shopping online: 1) What will I look
like when wearing this clothing on the street? 2) How to find the exact same or similar …
like when wearing this clothing on the street? 2) How to find the exact same or similar …
A parameter partial-sharing CNN architecture for cross-domain clothing retrieval
Cross-domain clothing retrieval is a challenging task due to significant differences between
online shop images taken in controlled conditions of clean backgrounds, good lighting, and …
online shop images taken in controlled conditions of clean backgrounds, good lighting, and …
[HTML][HTML] Deep learning with discriminative margin loss for cross-domain consumer-to-shop clothes retrieval
Consumer-to-shop clothes retrieval refers to the problem of matching photos taken by
customers with their counterparts in the shop. Due to some problems, such as a large …
customers with their counterparts in the shop. Due to some problems, such as a large …
Deep search with attribute-aware deep network
In this demo, we present Deep Search, an attribute-aware fashion-related retrieval system,
based on the convolutional neural network by taking clothes as a concrete example. In this …
based on the convolutional neural network by taking clothes as a concrete example. In this …
Fast fashion guided clothing image retrieval: Delving deeper into what feature makes fashion
Clothing fashion represents human's aesthetic appreciation towards their outfits and reflects
the development status of society, humanitarian and economics. Modelling fashion via …
the development status of society, humanitarian and economics. Modelling fashion via …