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Found 4 papers, 1 papers with code
Soft Contrastive Learning for Visual Localization
Our soft assignment makes a gradual distinction between close and far images in both geometric and feature spaces.
Self-Adaptable Templates for Feature Coding
Within this processing pipeline, the common trend is to learn the feature coding templates, often referred as codebook entries, filters, or over-complete basis.
Quantized Kernel Learning for Feature Matching
Matching local visual features is a crucial problem in computer vision and its accuracy greatly depends on the choice of similarity measure.
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities
A common approach for handling the complexity and inherent ambiguities of 3D human pose estimation is to use pose priors learned from training data.
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