Fashion meets computer vision: A survey
Fashion is the way we present ourselves to the world and has become one of the world's
largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention …
largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention …
[PDF][PDF] 图像理解中的卷积神经网络
常亮， 邓小明， 周明全， 武仲科， 袁野， 杨硕， 王宏安 - 自动化学报, 2016 - faculty.csu.edu.cn
摘要近年来, 卷积神经网络(Convolutional neural networks, CNN) 已在图像理解领域得到了
广泛的应用, 引起了研究者的关注. 特别是随着大规模图像数据的产生以及计算机硬件(特别是 …
广泛的应用, 引起了研究者的关注. 特别是随着大规模图像数据的产生以及计算机硬件(特别是 …
A comprehensive survey on travel recommender systems
K Chaudhari, A Thakkar - Archives of computational methods in …, 2020 - Springer
Travelling is a combination of journey, transportation, travel-time, accommodation, weather,
events, and other aspects which are likely to be experienced by most of the people at some …
events, and other aspects which are likely to be experienced by most of the people at some …
Deepfashion2: A versatile benchmark for detection, pose estimation, segmentation and re-identification of clothing images
Understanding fashion images has been advanced by benchmarks with rich annotations
such as DeepFashion, whose labels include clothing categories, landmarks, and consumer …
such as DeepFashion, whose labels include clothing categories, landmarks, and consumer …
Viton: An image-based virtual try-on network
We present an image-based VIirtual Try-On Network (VITON) without using 3D information
in any form, which seamlessly transfers a desired clothing item onto the corresponding …
in any form, which seamlessly transfers a desired clothing item onto the corresponding …
Deepfashion: Powering robust clothes recognition and retrieval with rich annotations
Recent advances in clothes recognition have been driven by the construction of clothes
datasets. Existing datasets are limited in the amount of annotations and are difficult to cope …
datasets. Existing datasets are limited in the amount of annotations and are difficult to cope …
Instance-level human parsing via part grouping network
Instance-level human parsing towards real-world human analysis scenarios is still under-
explored due to the absence of sufficient data resources and technical difficulty in parsing …
explored due to the absence of sufficient data resources and technical difficulty in parsing …
Image-based recommendations on styles and substitutes
Humans inevitably develop a sense of the relationships between objects, some of which are
based on their appearance. Some pairs of objects might be seen as being alternatives to …
based on their appearance. Some pairs of objects might be seen as being alternatives to …
Look into person: Joint body parsing & pose estimation network and a new benchmark
Human parsing and pose estimation have recently received considerable interest due to
their substantial application potentials. However, the existing datasets have limited numbers …
their substantial application potentials. However, the existing datasets have limited numbers …
Look into person: Self-supervised structure-sensitive learning and a new benchmark for human parsing
Human parsing has recently attracted a lot of research interests due to its huge application
potentials. However existing datasets have limited number of images and annotations, and …
potentials. However existing datasets have limited number of images and annotations, and …