ChainerCV Release - Preferred Networks Research & Development
We released ChainerCV: a utility library for computer vision in deep learning. This library aims at making the process of training and applying deep learning models for computer vision easier using Chainer. It contains high quality implementations of computer vision models, and tools that are necessary to conduct research in this field. GitHub page: https://github.com/chainer/chainercv Documentati
Who are the Devils Wearing Prada in New York City?
Fashion is a perpetual topic in human social life, and the mass has the penchant to emulate what large city residents and celebrities wear. Undeniably, New York City is such a bellwether large city with all kinds of fashion leadership. Consequently, to study what the fashion trends are during this year, it is very helpful to learn the fashion trends of New York City. Discovering fashion trends in
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https://dl.acm.org/doi/abs/10.1145/3123266.3123268
ModaNet: A Large-scale Street Fashion Dataset with Polygon Annotations
GitHub - xthan/polyvore-dataset: Dataset used in paper "Learning Fashion Compatibility with Bidirectional LSTMs"
Learning Fashion Compatibility with Bidirectional LSTMs
Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer Networks
https://dl.acm.org/citation.cfm?id=2396402
https://dl.acm.org/citation.cfm?id=2656405
Fully Convolutional Network with Superpixel Parsing for Fashion Web Image Segmentation
Kota Yamaguchi - Chic or Social
