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Found 4 papers, 0 papers with code
Algorithmic clothing: hybrid recommendation, from street-style-to-shop
In this paper we detail Cortexica's (https://www. cortexica. com) recommendation framework -- particularly, we describe how a hybrid visual recommender system can be created by combining conditional random fields for segmentation and deep neural networks for object localisation and feature representation.
Deep Tensor Encoding
Learning an encoding of feature vectors in terms of an over-complete dictionary or a information geometric (Fisher vectors) construct is wide-spread in statistical signal processing and computer vision.
Large-scale image analysis using docker sandboxing
With the advent of specialized hardware such as Graphics Processing Units (GPUs), large scale image localization, classification and retrieval have seen increased prevalence.
Differential Geometric Retrieval of Deep Features
In this paper, we compare distance metrics (and divergences) to rank features generated from a neural network, for content-based image retrieval.
