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--- |
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license: apache-2.0 |
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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 Mobilenet-v2, 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/mobilenet_v2 for Mobilenet-v2 model description. </br> |
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# Contents |
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- ONNX: mobilenetv2.onnx |
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- Quantized ONNX (INT8): mobilenetv2-q.onnx |
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# Lecture note reference |
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- MobileNetV2: Inverted Residuals and Linear Bottlenecks, https://arxiv.org/pdf/1801.04381 |
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# Repository or links references |
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- [PyTorch | TorchVision](https://pytorch.org/vision/stable/models/generated/torchvision.models.mobilenet_v2.html#torchvision.models.mobilenet_v2) |
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BibTeX entry and citation info |
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``` |
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@article{DBLP:journals/corr/abs-1801-04381, |
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author = {Mark Sandler and |
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Andrew G. Howard and |
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Menglong Zhu and |
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Andrey Zhmoginov and |
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Liang{-}Chieh Chen}, |
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title = {Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, |
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Detection and Segmentation}, |
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journal = {CoRR}, |
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volume = {abs/1801.04381}, |
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year = {2018}, |
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url = {http://arxiv.org/abs/1801.04381}, |
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eprinttype = {arXiv}, |
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eprint = {1801.04381}, |
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timestamp = {Tue, 12 Jan 2021 15:30:06 +0100}, |
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biburl = {https://dblp.org/rec/journals/corr/abs-1801-04381.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: |
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+ [email protected] |
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+ [email protected] |
