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---
license: apache-2.0
datasets:
- ILSVRC/imagenet-1k
pipeline_tag: image-classification
---
# Introduction
This repository stores the model for Mobilenet-v2, compatible with Kalray's neural network API. </br>
Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br>
Please see https://huggingface.co/docs/transformers/main/en/model_doc/mobilenet_v2 for Mobilenet-v2 model description. </br>
# Contents
- ONNX: mobilenetv2.onnx
- Quantized ONNX (INT8): mobilenetv2-q.onnx
# Lecture note reference
- MobileNetV2: Inverted Residuals and Linear Bottlenecks, https://arxiv.org/pdf/1801.04381
# Repository or links references
- [PyTorch | TorchVision](https://pytorch.org/vision/stable/models/generated/torchvision.models.mobilenet_v2.html#torchvision.models.mobilenet_v2)
BibTeX entry and citation info
```
@article{DBLP:journals/corr/abs-1801-04381,
author = {Mark Sandler and
Andrew G. Howard and
Menglong Zhu and
Andrey Zhmoginov and
Liang{-}Chieh Chen},
title = {Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification,
Detection and Segmentation},
journal = {CoRR},
volume = {abs/1801.04381},
year = {2018},
url = {http://arxiv.org/abs/1801.04381},
eprinttype = {arXiv},
eprint = {1801.04381},
timestamp = {Tue, 12 Jan 2021 15:30:06 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1801-04381.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
```
Authors:
+ qmuller@kalrayinc.com
+ nbouberbachene@kalrayinc.com |