Keras_efficientnet_ssd

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 tf functions for faster computation.
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Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Bidet134
3 years agomitPython
This is the official pytorch implementation for paper: BiDet: An Efficient Binarized Object Detector, which is accepted by CVPR2020.
Ssd_efficientnet57
5 years ago11Python
SSD using TensorFlow object detection API with EfficientNet backbone
Efficientdet.pytorch50
4 years ago3mitJupyter Notebook
:neckbeard:Unofficial implementation of EfficientDet
Ssd Pruning And Quantization16
3 years ago1mitPython
Pruning and quantization for SSD. Model compression.
Ufod8
a year ago19mitPython
Ffbnet8
5 years ago3mitPython
FFBNET : LIGHTWEIGHT BACKBONE FOR OBJECT DETECTION BASED FEATURE FUSION BLOCK
Single_shot_detection6
5 years agoPython
Single shot object detection in PyTorch
Tf Ssd6
4 years agoapache-2.0Python
Tensorflow 2 single shot multibox detector (SSD) implementation from scratch with MobileNetV2 and VGG16 backbones
Keras_efficientnet_ssd6
3 years ago1mitPython
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 tf functions for faster computation.
Detection Experiments5
3 years agoapache-2.0Python
Playground of various object detection models implemented in PyTorch
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