|
--- |
|
license: mit |
|
datasets: |
|
- ILSVRC/imagenet-1k |
|
pipeline_tag: image-classification |
|
--- |
|
|
|
# Introduction |
|
|
|
This repository stores the model for Efficientnetlite-b4, 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/efficientnet for Efficientnet model description. </br> |
|
|
|
# Contents |
|
|
|
- ONNX: efficientnet-lite4-s.nchw.onnx |
|
|
|
# Lecture note reference |
|
|
|
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks, https://arxiv.org/pdf/1905.11946 |
|
|
|
# Repository or links references |
|
|
|
- https://github.com/onnx/models/blob/5faef4c33eba0395177850e1e31c4a6a9e634c82/vision/classification/efficientnet-lite4/model/efficientnet-lite4-11.onnx |
|
|
|
BibTeX entry and citation info |
|
``` |
|
@article{DBLP:journals/corr/abs-1905-11946, |
|
author = {Mingxing Tan and |
|
Quoc V. Le}, |
|
title = {EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks}, |
|
journal = {CoRR}, |
|
volume = {abs/1905.11946}, |
|
year = {2019}, |
|
url = {http://arxiv.org/abs/1905.11946}, |
|
eprinttype = {arXiv}, |
|
eprint = {1905.11946}, |
|
timestamp = {Mon, 03 Jun 2019 13:42:33 +0200}, |
|
biburl = {https://dblp.org/rec/journals/corr/abs-1905-11946.bib}, |
|
bibsource = {dblp computer science bibliography, https://dblp.org} |
|
} |
|
``` |
|
|
|
Author: [email protected] |
