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deeplabv3plus-mobilenetv2
Kalray/deeplabv3plus-mobilenetv2
deeplabv3plus-mobilenetv2 is a image segmentation model from Kalray. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This repository stores the model for Deeplabv3plus-mobilenetv2, compatible with Kalray's neural network API. </br Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br
Access
Public
Updated Apr 8, 2025
Repo size
25.7 MB
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.onnx16.9 MB · 66%
At a glance
- Task
- Image Segmentation
- License
- apache-2.0
- Access
- Public
- Created
- Jul 9, 2024
- Updated
- Apr 8, 2025
- SHA
- 38a15d7c
Base models
Model card
From the Hugging Face model README
Introduction
This repository stores the model for Deeplabv3plus-mobilenetv2, compatible with Kalray's neural network API. </br> Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br>
Contents
- ONNX: deeplab-mb2_bilinear.onnx, deeplab-mb2_asym_floor.onnx (converted from tensorflow model)
- Tensorflow: deeplab_mobilenetv2_voc2012_513x513.pb
Reference links
- github: https://github.com/tensorflow/models/blob/archive/research/deeplab/g3doc/model_zoo.md
- weights: http://download.tensorflow.org/models/deeplabv3_mnv2_pascal_trainval_2018_01_29.tar.gz
Lecture reference
@inproceedings{deeplabv3plus2018,
title={Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation},
author={Liang-Chieh Chen and Yukun Zhu and George Papandreou and Florian Schroff and Hartwig Adam},
booktitle={ECCV},
year={2018}
}
@inproceedings{mobilenetv22018,
title={MobileNetV2: Inverted Residuals and Linear Bottlenecks},
author={Mark Sandler and Andrew Howard and Menglong Zhu and Andrey Zhmoginov and Liang-Chieh Chen},
booktitle={CVPR},
year={2018}
}
Author: [email protected]
- Task
- Image Segmentation
- License
- apache-2.0
- Created
- Jul 9, 2024
- Updated
- Apr 8, 2025