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--- |
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license: mit |
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datasets: |
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- ILSVRC/imagenet-1k |
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pipeline_tag: image-classification |
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--- |
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# Introduction |
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This repository stores the model for Efficientnetlite-b4, compatible with Kalray's neural network API. </br> |
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Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br> |
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Please see https://huggingface.co/docs/transformers/main/en/model_doc/efficientnet for Efficientnet model description. </br> |
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# Contents |
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- ONNX: efficientnet-lite4-s.onnx |
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- Quantized ONNX: efficientnet-lite4-s-q.onnx |
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# Lecture note reference |
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- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks, https://arxiv.org/pdf/1905.11946 |
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# Repository or links references |
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- https://github.com/onnx/models/blob/5faef4c33eba0395177850e1e31c4a6a9e634c82/vision/classification/efficientnet-lite4/model/efficientnet-lite4-11.onnx |
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BibTeX entry and citation info |
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``` |
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@article{DBLP:journals/corr/abs-1905-11946, |
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author = {Mingxing Tan and |
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Quoc V. Le}, |
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title = {EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks}, |
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journal = {CoRR}, |
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volume = {abs/1905.11946}, |
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year = {2019}, |
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url = {http://arxiv.org/abs/1905.11946}, |
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eprinttype = {arXiv}, |
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eprint = {1905.11946}, |
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timestamp = {Mon, 03 Jun 2019 13:42:33 +0200}, |
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biburl = {https://dblp.org/rec/journals/corr/abs-1905-11946.bib}, |
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bibsource = {dblp computer science bibliography, https://dblp.org} |
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} |
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``` |
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Authors: qmuller@kalrayinc.com, nbouberbachene@kalrayinc.com |
