Models: Mobilenet v3

Created on 18 May 2019  路  11Comments  路  Source: tensorflow/models

Do you will release Mobilenet v3?

https://arxiv.org/abs/1905.02244

research awaiting response support

Most helpful comment

Adding on to the request, improved segmentation, object detection models with Mobilenet V3 backbone as explained in the paper

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Have the same question.
Seems there's Pytorch implementation

Have the same question.
Seems there's Pytorch implementation

Yes, I have found this is applicable.https://github.com/kuan-wang/pytorch-mobilenet-v3

Adding on to the request, improved segmentation, object detection models with Mobilenet V3 backbone as explained in the paper

Please give a link to the official repository Mobilenet v3. I can not find

Given that the MobileNet V3 SSDLite models have been published recently, it would be great to have an example how to run a prediction using this model. The model seems to produce different results compared to the v1 and v2 models. Do you plan to make a tutorial available that shows what preprocessing is needed on the inputs and how to process the outputs?

Is there any update on the above question? The "ssd_mobilenet_v3_large_coco" model that was posted on Oct. 15 on de model zoo (https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md) has an output structure that is different from other object detection models. For example if you import the model.tflite from the tar file into https://lutzroeder.github.io/netron/, you get following output:
ssdmobilenetv3output
Can you please provide an end-to-end tutorial how to pre-process the data before feeding it into the model in TFlite and how to extract the data?

It looks like folks are interested in MobileNet V3 architecture TF code. TF Object detection model repo has the definitions of mobilenet architectures. https://github.com/tensorflow/models/tree/master/research/slim/nets/mobilenet

hope this helps.

@bhack

Is this still an issue?.Please, close this thread if your issue was resolved.Thanks!

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