Papers › Scale-Equivariant Steerable Networks

Scale-Equivariant Steerable Networks

14 Oct 2019ICLR 2020 1arXiv:1910.11093archive 2025-07-28

Ivan Sosnovik, Michał Szmaja, Arnold Smeulders

The effectiveness of Convolutional Neural Networks (CNNs) has been substantially attributed to their built-in property of translation equivariance. However, CNNs do not have embedded mechanisms to handle other types of transformations. In this work, we pay attention to scale changes, which regularly appear in various tasks due to the changing distances between the objects and the camera. First, we introduce the general theory for building scale-equivariant convolutional networks with steerable filters. We develop scale-convolution and generalize other common blocks to be scale-equivariant. We demonstrate the computational efficiency and numerical stability of the proposed method. We compare the proposed models to the previously developed methods for scale equivariance and local scale invariance. We demonstrate state-of-the-art results on MNIST-scale dataset and on STL-10 dataset in the supervised learning setting.

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pool_from_groups isosnovik/sesn/models/mnist_xu.py community (archive-listed) unverified MIT (permissive) · 24bd7b0245806142 · report
wrn_16_8 isosnovik/sesn/models/stl_wrn.py community (archive-listed) unverified MIT (permissive) · 04562e68d8114c64 · report
wrn_16_8_dss isosnovik/sesn/models/stl_dss.py community (archive-listed) unverified MIT (permissive) · 4d1504cdb531115a · report
wrn_16_8_kanazawa isosnovik/sesn/models/stl_kanazawa.py community (archive-listed) unverified MIT (permissive) · 2a9defc3beb878c0 · report
wrn_16_8_ses_a isosnovik/sesn/models/stl_ses.py community (archive-listed) unverified MIT (permissive) · 8d1a18fe01f215fe · report
wrn_16_8_ses_b isosnovik/sesn/models/stl_ses.py community (archive-listed) unverified MIT (permissive) · 87d861b8b5c91682 · report
wrn_16_8_ses_c isosnovik/sesn/models/stl_ses.py community (archive-listed) unverified MIT (permissive) · 35484fcf873d3a39 · report
wrn_16_8_ss isosnovik/sesn/models/stl_ss.py community (archive-listed) unverified MIT (permissive) · c1e705b559417b16 · report

Tasks

Computational EfficiencyImage ClassificationTranslation

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Image Classification STL-10 SESN Percentage correct 91.49 #32 of 117 Archive leaderboard report

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