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**Short Description**
**Papers**
MobileNetV4 - Universal Models for the Mobile Ecosystem
**Existing Implementations**
https://github.com/tensorflow/models/blob/master/official/vision/modelin…
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### MediaPipe Solution (you are using)
Model Maker
### Programming language
_No response_
### Are you willing to contribute it
No
### Describe the feature and the current behaviour/state
[Mobil…
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What are these levels? https://github.com/lufficc/SSD/blob/68dc0a20efaf3997e58b616afaaaa21bf8ca3c05/ssd/modeling/backbone/mobilenetv3.py#L177-L182
and these
https://github.com/lufficc/SSD/blob/68d…
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Is there a plan to publish the model weights?
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我想使用ghostnetv3训练的方法来训练mobilenetv4可行吗,是使用ghostnetv3中的train.py就可以吗
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Currently, I got
|device| Mobilenet V4 Large| Mobilenet EdgeTPU|
|------|----:|---:|
|iPhone 13| 220.11 | 617.78|
|iPhone 14 Pro| 300.06 | 970.95|
|iPhone 15 Pro Max| 332.95 | 1145.05|
Ro…
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In mobilenetv4_conv_small in block_specs there is an error in number of filters and kernel size.
https://github.com/d-li14/mobilenetv4.pytorch/blob/f6c76734417845f1536d1e1065f37b2e4342efba/mobilenet…
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**Describe the bug**
I'm trying to use MobileNetV4 model as a feature extractor. Its num_features is 960 but giving output features as 1280.
I can get desired shaped output with convnext_nano and t…
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I can only find \'MobileNetV4-Conv-Large-fp32.tflite\' in other repos, but it is only for inference.
Do you plan to release the checkpoints, including the un-merged BN parameters.
Thanks!