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Found 6 papers, 1 papers with code
Sketching With Style: Visual Search With Sketches and Aesthetic Context
We propose a novel measure of visual similarity for image retrieval that incorporates both structural and aesthetic (style) constraints.
BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography
Furthermore, we carry out baseline experiments to show the value of this dataset for artistic style prediction, for improving the generality of existing object classifiers, and for the study of visual domain adaptation.
Can we still avoid automatic face detection?
In this setting, is it still possible for privacy-conscientious users to avoid automatic face detection and recognition?
Learning Concept Embeddings with Combined Human-Machine Expertise
This paper presents our work on "SNaCK," a low-dimensional concept embedding algorithm that combines human expertise with automatic machine similarity kernels.
Image Representations and New Domains in Neural Image Captioning
We examine the possibility that recent promising results in automatic caption generation are due primarily to language models.
Cost-Effective HITs for Relative Similarity Comparisons
In this work we explore an alternative display for collecting triplets and analyze the monetary cost and speed of the display.
