Digital fashion: A systematic literature review. A perspective on marketing and communication

A Noris, TH Nobile, N Kalbaska… - Journal of Global Fashion …, 2021 - Taylor & Francis
Research in the overlapping area between Fashion and Information and Communication
Technologies–hereafter referred to as “Digital Fashion”–is growing and attracting the …

Fashion meets computer vision: A survey

WH Cheng, S Song, CY Chen, SC Hidayati… - ACM Computing Surveys …, 2021 - dl.acm.org
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 …

Underwater scene prior inspired deep underwater image and video enhancement

C Li, S Anwar, F Porikli - Pattern Recognition, 2020 - Elsevier
In underwater scenes, wavelength-dependent light absorption and scattering degrade the
visibility of images and videos. The degraded underwater images and videos affect the …

Attention, please! A survey of neural attention models in deep learning

A de Santana Correia, EL Colombini - Artificial Intelligence Review, 2022 - Springer
In humans, Attention is a core property of all perceptual and cognitive operations. Given our
limited ability to process competing sources, attention mechanisms select, modulate, and …

Benchmark analysis of jetson tx2, jetson nano and raspberry pi using deep-cnn

AA Süzen, B Duman, B Şen - 2020 International Congress on …, 2020 - ieeexplore.ieee.org
Hardware, low power consumption, high accuracy and performance are crucial factors for
deep learning applications. High level graphics processing units (GPU) are commonly used …

Logic-induced diagnostic reasoning for semi-supervised semantic segmentation

C Liang, W Wang, J Miao… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Recent advances in semi-supervised semantic segmentation have been heavily reliant on
pseudo labeling to compensate for limited labeled data, disregarding the valuable relational …

Crowdpose: Efficient crowded scenes pose estimation and a new benchmark

J Li, C Wang, H Zhu, Y Mao… - Proceedings of the …, 2019 - openaccess.thecvf.com
Multi-person pose estimation is fundamental to many computer vision tasks and has made
significant progress in recent years. However, few previous methods explored the problem …

Learning human-object interactions by graph parsing neural networks

S Qi, W Wang, B Jia, J Shen… - Proceedings of the …, 2018 - openaccess.thecvf.com
This paper addresses the task of detecting and recognizing human-object interactions (HOI)
in images and videos. We introduce the Graph Parsing Neural Network (GPNN), a …

Learning with average precision: Training image retrieval with a listwise loss

J Revaud, J Almazán, RS Rezende… - Proceedings of the …, 2019 - openaccess.thecvf.com
Image retrieval can be formulated as a ranking problem where the goal is to order database
images by decreasing similarity to the query. Recent deep models for image retrieval have …

Deepfashion2: A versatile benchmark for detection, pose estimation, segmentation and re-identification of clothing images

Y Ge, R Zhang, X Wang, X Tang… - Proceedings of the …, 2019 - openaccess.thecvf.com
Understanding fashion images has been advanced by benchmarks with rich annotations
such as DeepFashion, whose labels include clothing categories, landmarks, and consumer …