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Hi! I'm trying to quantize MobileNetV3 with tflite, but int8-model performs very poor. I think, it is because of linear quantization, which is too simple method not appropriate for any weights distrib…
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### Search before asking
- [X] I have searched the YOLOv5 [issues](https://github.com/ultralytics/yolov5/issues) and found no similar bug report.
### YOLOv5 Component
Detection
### Bug
…
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Does it support mobilenetv3?
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I want to do transfer learning using MobileNetV3. I see on [here](https://github.com/keras-team/keras-applications/blob/master/keras_applications/mobilenet_v3.py) that MobileNetV3 is available, but I …
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To create unittests for all the ops in the YoloV5 model on GS device.
unit tests to be created under https://github.com/tenstorrent-metal/tt-metal/blob/main/tests/ttnn/unit_tests/operations
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Hi,
For MobileNetV3, seems that you have done several modifications on the original implementation: disable h-swish, remove non-linear funtion in DW, add extra non-linear funtion after SElayer, cha…
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您好,非常好的一个仓库!请问是否有mobilenetV3版本的网络权重
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Thank you for sharing this work. It helps me a lot.
I am trying to use mobilenetv3 backbone but I got some weight size mismatching problems.
I used the below additional script for mobilenetv3. Is …
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hello and thanks for your work.
could u please guys tell me how to use custom (not resnet50) backbone cause speed is the most important aspect for me so I'd like to try mobilenetv3 from timm for this…
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### OpenVINO Version
2024.0 2024.1,2024.2
### Operating System
Windows System
### Device used for inference
CPU
### Framework
None
### Model used
mobilenetV3,shuffleNetV2
### Issue descripti…