yamengxi 25d8d77fab [New model] Support MobileNetV3 (#268)
* delete markdownlint

* Support MobileNetV3

* fix import

* add mobilenetv3 head and configs

* Modify MobileNetV3 to semantic segmentation version

* modify mobilenetv3 configs

* add std configs

* fix Conv2dAdaptivePadding bug

* add configs

* add unitest and fix bugs

* fix lraspp unitest bugs

* restore

* fix unitest

* add MobileNetV3 docstring

* add mmcv

* add mmcv

* fix syntax bug

* fix unitest bug

* fix unitest bug

* fix unitest bugs

* fix docstring

* add configs

* restore

* delete unnecessary assert

* modify unitest

* delete benchmark
2020-12-26 00:02:50 -08:00
..

Searching for MobileNetV3

Introduction

@inproceedings{Howard_2019_ICCV,
  title={Searching for MobileNetV3},
  author={Howard, Andrew and Sandler, Mark and Chu, Grace and Chen, Liang-Chieh and Chen, Bo and Tan, Mingxing and Wang, Weijun and Zhu, Yukun and Pang, Ruoming and Vasudevan, Vijay and Le, Quoc V. and Adam, Hartwig},
  booktitle={The IEEE International Conference on Computer Vision (ICCV)},
  pages={1314-1324},
  month={October},
  year={2019},
  doi={10.1109/ICCV.2019.00140}}
}

Results and models

Cityscapes

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) download
LRASPP M-V3-D8 512x1024 320000 8.9 15.22 69.54 70.89 model | log
LRASPP M-V3-D8 (scratch) 512x1024 320000 8.9 14.77 67.87 69.78 model | log
LRASPP M-V3s-D8 512x1024 320000 5.3 23.64 64.11 66.42 model | log
LRASPP M-V3s-D8 (scratch) 512x1024 320000 5.3 24.50 62.74 65.01 model | log