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Mathew Swanson
Mathew-S/
Kaggle-UWMGIT
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[f1e01c]: / configs / mobilenet_v3 / mobilenet_v3.yml

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Collections:

- Name: mobilenet_v3

  Metadata:

    Training Data:

    - Cityscapes

  Paper:

    URL: https://arxiv.org/abs/1801.04381

    Title: Searching for MobileNetV3

  README: configs/mobilenet_v3/README.md

  Code:

    URL: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/backbones/mobilenet_v3.py#L15

    Version: v0.17.0

  Converted From:

    Code: https://github.com/tensorflow/models/tree/master/research/deeplab

Models:

- Name: lraspp_m-v3-d8_512x1024_320k_cityscapes

  In Collection: mobilenet_v3

  Metadata:

    backbone: M-V3-D8

    crop size: (512,1024)

    lr schd: 320000

    inference time (ms/im):

    - value: 65.7

      hardware: V100

      backend: PyTorch

      batch size: 1

      mode: FP32

      resolution: (512,1024)

    Training Memory (GB): 8.9

  Results:

  - Task: Semantic Segmentation

    Dataset: Cityscapes

    Metrics:

      mIoU: 69.54

      mIoU(ms+flip): 70.89

  Config: configs/mobilenet_v3/lraspp_m-v3-d8_512x1024_320k_cityscapes.py

  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/mobilenet_v3/lraspp_m-v3-d8_512x1024_320k_cityscapes/lraspp_m-v3-d8_512x1024_320k_cityscapes_20201224_220337-cfe8fb07.pth

- Name: lraspp_m-v3-d8_scratch_512x1024_320k_cityscapes

  In Collection: mobilenet_v3

  Metadata:

    backbone: M-V3-D8 (scratch)

    crop size: (512,1024)

    lr schd: 320000

    inference time (ms/im):

    - value: 67.7

      hardware: V100

      backend: PyTorch

      batch size: 1

      mode: FP32

      resolution: (512,1024)

    Training Memory (GB): 8.9

  Results:

  - Task: Semantic Segmentation

    Dataset: Cityscapes

    Metrics:

      mIoU: 67.87

      mIoU(ms+flip): 69.78

  Config: configs/mobilenet_v3/lraspp_m-v3-d8_scratch_512x1024_320k_cityscapes.py

  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/mobilenet_v3/lraspp_m-v3-d8_scratch_512x1024_320k_cityscapes/lraspp_m-v3-d8_scratch_512x1024_320k_cityscapes_20201224_220337-9f29cd72.pth

- Name: lraspp_m-v3s-d8_512x1024_320k_cityscapes

  In Collection: mobilenet_v3

  Metadata:

    backbone: M-V3s-D8

    crop size: (512,1024)

    lr schd: 320000

    inference time (ms/im):

    - value: 42.3

      hardware: V100

      backend: PyTorch

      batch size: 1

      mode: FP32

      resolution: (512,1024)

    Training Memory (GB): 5.3

  Results:

  - Task: Semantic Segmentation

    Dataset: Cityscapes

    Metrics:

      mIoU: 64.11

      mIoU(ms+flip): 66.42

  Config: configs/mobilenet_v3/lraspp_m-v3s-d8_512x1024_320k_cityscapes.py

  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/mobilenet_v3/lraspp_m-v3s-d8_512x1024_320k_cityscapes/lraspp_m-v3s-d8_512x1024_320k_cityscapes_20201224_223935-61565b34.pth

- Name: lraspp_m-v3s-d8_scratch_512x1024_320k_cityscapes

  In Collection: mobilenet_v3

  Metadata:

    backbone: M-V3s-D8 (scratch)

    crop size: (512,1024)

    lr schd: 320000

    inference time (ms/im):

    - value: 40.82

      hardware: V100

      backend: PyTorch

      batch size: 1

      mode: FP32

      resolution: (512,1024)

    Training Memory (GB): 5.3

  Results:

  - Task: Semantic Segmentation

    Dataset: Cityscapes

    Metrics:

      mIoU: 62.74

      mIoU(ms+flip): 65.01

  Config: configs/mobilenet_v3/lraspp_m-v3s-d8_scratch_512x1024_320k_cityscapes.py

  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/mobilenet_v3/lraspp_m-v3s-d8_scratch_512x1024_320k_cityscapes/lraspp_m-v3s-d8_scratch_512x1024_320k_cityscapes_20201224_223935-03daeabb.pth