Count objects of any type in an image with only a few examples

Count objects of any type in an image with only a few examples

Iterative Correlation-based Feature Refinement for Few-shot Counting
arXiv paper abstract https://arxiv.org/abs/2201.08959v1
arXiv PDF paper https://arxiv.org/pdf/2201.08959v1.pdf

Few-shot counting aims to count objects of any class in an image given only a few exemplars of the same class.

… propose an iterative framework to progressively refine the exemplar-related features based on the correlation between the image and exemplars.

Then the density map is predicted from the final refined feature map.

The iterative framework includes a Correlation Distillation module and a Feature Refinement module.

… the exemplar-related features are gradually refined, while the exemplar-unrelated features are suppressed, benefiting few-shot counting where the exemplar-related features are more important.

… approach surpasses all baselines significantly on few-shot counting benchmark FSC-147. …

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