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ZENODO
Software . 2021
Data sources: Datacite
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ZENODO
Software . 2021
Data sources: Datacite
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ZENODO
Software . 2021
Data sources: ZENODO
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SSD implementation in Keras with EfficientNet

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 20 May 2021Publisher:Zenodo
Authors: Swapnil Gupta;
Code repository: https://github.com/500swapnil/Keras_Efficientnet_SSD/tree/1.1

doi: 10.5281/zenodo.4775342 , 10.5281/zenodo.4775343

SSD implementation in Keras with EfficientNet

Abstract

A pure Tensorflow+Keras TPU trainable implementation of SSD (Single Shot MultiBox Detector) using different backbones of EfficientNet which can be replaced with any ImageNet backbone. Tested on the PASCAL_VOC dataset. Implemented several low level data preprocessing and augmentations in pure tensorflow functions for faster computation.

Keywords

Single Shot Detection, Tensorflow, EfficientNet

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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
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