Glossary Library

Technical GlossaryComputer Vision

Mask Refinement

A refinement process that improves an initial segmentation output in terms of boundary quality and detail precision.

Mask refinement is applied to make coarse segmentation outputs more usable. Raw segmentation may be insufficient when thin boundaries, small objects, or complex edge structures are involved. Edge-aware correction, multi-scale fusion, or post-processing-based refinement methods are therefore used. It can be a critical layer determining final application quality.

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K-Means

One of the most common clustering algorithms, which partitions data points into k clusters based on distance to centroids.

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Consensus Clustering

An approach that combines multiple clustering results to obtain a more stable and reliable cluster structure.

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Dilated Convolution

A convolution technique that enlarges the receptive field by inserting gaps between filter elements.