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A review of recurrent neural networks: LSTM cells and network architectures
Recurrent neural networks (RNNs) have been widely adopted in research areas concerned
with sequential data, such as text, audio, and video. However, RNNs consisting of sigma …
with sequential data, such as text, audio, and video. However, RNNs consisting of sigma …
A review of modern fashion recommender systems
The textile and apparel industries have grown tremendously over the past few years.
Customers no longer have to visit many stores, stand in long queues, or try on garments in …
Customers no longer have to visit many stores, stand in long queues, or try on garments in …
Effective conditioned and composed image retrieval combining clip-based features
Conditioned and composed image retrieval extend CBIR systems by combining a query
image with an additional text that expresses the intent of the user, describing additional …
image with an additional text that expresses the intent of the user, describing additional …
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 …
Robust recurrent neural networks for time series forecasting
Recurrent neural networks (RNNs) are widely utilized in time series forecasting tasks. In
practical applications, there are noises in real-life time series data. A model's generalization …
practical applications, there are noises in real-life time series data. A model's generalization …
Customer models for artificial intelligence-based decision support in fashion online retail supply chains
Fashion is a global, multi-trillion dollar industry devoted to producing and selling clothing,
footwear, and accessories to individuals or groups of people. Its sheer numbers, together …
footwear, and accessories to individuals or groups of people. Its sheer numbers, together …
Personalized fashion recommendation with visual explanations based on multimodal attention network: Towards visually explainable recommendation
Fashion recommendation has attracted increasing attention from both industry and
academic communities. This paper proposes a novel neural architecture for fashion …
academic communities. This paper proposes a novel neural architecture for fashion …
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 …
Recent developments of content-based image retrieval (CBIR)
With the development of Internet technology and the popularity of digital devices, Content-
Based Image Retrieval (CBIR) has been quickly developed and applied in various fields …
Based Image Retrieval (CBIR) has been quickly developed and applied in various fields …
Visually-aware fashion recommendation and design with generative image models
Building effective recommender systems for domains like fashion is challenging due to the
high level of subjectivity and the semantic complexity of the features involved (ie, fashion …
high level of subjectivity and the semantic complexity of the features involved (ie, fashion …