Papers › The magnitude vector of images

The magnitude vector of images

28 Oct 2021arXiv:2110.15188archive 2025-07-28

Michael F. Adamer, Edward De Brouwer, Leslie O'Bray, Bastian Rieck

The magnitude of a finite metric space has recently emerged as a novel invariant quantity, allowing to measure the effective size of a metric space. Despite encouraging first results demonstrating the descriptive abilities of the magnitude, such as being able to detect the boundary of a metric space, the potential use cases of magnitude remain under-explored. In this work, we investigate the properties of the magnitude on images, an important data modality in many machine learning applications. By endowing each individual images with its own metric space, we are able to define the concept of magnitude on images and analyse the individual contribution of each pixel with the magnitude vector. In particular, we theoretically show that the previously known properties of boundary detection translate to edge detection abilities in images. Furthermore, we demonstrate practical use cases of magnitude for machine learning applications and propose a novel magnitude model that consists of a computationally efficient magnitude computation and a learnable metric. By doing so, we address the computational hurdle that used to make magnitude impractical for many applications and open the way for the adoption of magnitude in machine learning research.

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experiment mikeadamer/mag-metric/baselines/parameter_search.py official repository unverified BSD-3-Clause (permissive) · 140c20940b2ecc01 · report
get_training_image mikeadamer/mag-metric/magnitude_model/train_model_single_shot.py official repository unverified BSD-3-Clause (permissive) · ba1a676807f4461e · report
local_approx mikeadamer/mag-metric/theoretical/approx_benchmark.py official repository unverified BSD-3-Clause (permissive) · 20f8f7ceb7f3ccf7 · report
magnitude_theoretical mikeadamer/mag-metric/theoretical/one_d_images.py official repository unverified BSD-3-Clause (permissive) · 92c2a969a1a9a9df · report
magnitude_theoretical_1d mikeadamer/mag-metric/theoretical/approx_benchmark.py official repository unverified BSD-3-Clause (permissive) · 8654a7f8b2a94e22 · report
rank_1_approx mikeadamer/mag-metric/theoretical/approx_benchmark.py official repository unverified BSD-3-Clause (permissive) · e7ea72a8f4f51195 · report

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Boundary DetectionDescriptiveEdge DetectionOutlier Detection

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