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Found 3 papers, 2 papers with code
Integrating Visual and Semantic Similarity Using Hierarchies for Image Retrieval
Most of the research in content-based image retrieval (CBIR) focus on developing robust feature representations that can effectively retrieve instances from a database of images that are visually similar to a query.
Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers
Recent works show that the data distribution in a network's latent space is useful for estimating classification uncertainty and detecting Out-of-distribution (OOD) samples.
Tackling Inter-Class Similarity and Intra-Class Variance for Microscopic Image-based Classification
In this paper, we propose to account for it by partitioning the classes with high variance based on the visual features.
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