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Stair-Step Feature Pyramid Networks for Object Detection

Communications in Computer and Information Science, 2021
Feature Pyramid Networks have solved scale variation problems in object detection by developing multi-level features with different scales from backbone networks. Although this network achieved promising performance without affecting model complexity, they still suffer feature-level imbalance between multi-level features, i.e., low-level features and ...
Kang-Hyun Jo   +2 more
exaly   +2 more sources

Feature pyramid of bi-directional stepped concatenation for small object detection

Multimedia Tools and Applications, 2021
In recent years, great breakthroughs have been made in object detection. However, performance of the most algorithms declines significantly when detecting small objects in an image. Thus, multi-scale feature maps are often used to develop network variants to generate multi-scale representations.
Qiyuan Zheng, Ying Chen 0014
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Transient magnetorheological response of magnetoactive elastomers to step and pyramid excitations

Soft Matter, 2016
Transient rheological response of magnetoactive elastomers is experimentally studied using dynamic torsion at a fixed oscillation frequency in temporally stepwise changing magnetic fields and oscillation amplitudes. For step magnetic-field excitations, at least three exponential functions are required to reasonably describe the time behavior of the ...
Inna A, Belyaeva   +5 more
openaire   +2 more sources

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