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Found 3 papers, 1 papers with code
G-SemTMO: Tone Mapping with a Trainable Semantic Graph
In this work, we draw inspiration from an expert photographer's approach and present a Graph-based Semantic-aware Tone Mapping Operator, G-SemTMO.
Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization
In this paper we propose ASAP, an active sampling algorithm based on approximate message passing and expected information gain maximization.
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets
Data augmentation is rapidly gaining attention in machine learning.
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