| --- |
| 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.onnx |
| - Quantized ONNX: efficientnet-lite4-s-q.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} |
| } |
| ``` |
| |
| Authors: qmuller@kalrayinc.com, nbouberbachene@kalrayinc.com |
