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ZENODO
Software . 2020
Data sources: Datacite
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ZENODO
Software . 2020
Data sources: ZENODO
Claim

ZFTurbo/Weighted-Boxes-Fusion: Speed up + New Features

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 25 Jun 2020Publisher:Zenodo
Authors: IDMIPPM; ZFTurbo;
Code repository: https://github.com/ZFTurbo/Weighted-Boxes-Fusion/tree/v1.0.4

doi: 10.5281/zenodo.3908510

ZFTurbo/Weighted-Boxes-Fusion: Speed up + New Features

Abstract

Added many input data checks in all methods: set to 0.0 coords < 0, set to 1.0 coords > 1, swap cases where x2 < x1 and y2 < y1, remove zero area boxes. Added numba @jit(nopython=True) for critical functions (NMS, NMW and WBF). Speed up around x2 times (tested on example_oid.py). Added support for 3D boxes with function weighted_boxes_fusion_3d

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
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2