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Open source checkpoints for mobilenetv2_dm05_coco_voc_trainaug and mobilenetv2_dm05_coco_voc_trainval
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research/deeplab/g3doc/model_zoo.md

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@@ -28,6 +28,8 @@ employ ASPP and decoder modules for fast computation.
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Checkpoint name | Network backbone | Pretrained dataset | ASPP | Decoder
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--------------------------- | :--------------: | :-----------------: | :---: | :-----:
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mobilenetv2_dm05_coco_voc_trainaug | MobileNet-v2 <br> Depth-Multiplier = 0.5 | MS-COCO <br> VOC 2012 train_aug set| N/A | N/A
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mobilenetv2_dm05_coco_voc_trainval | MobileNet-v2 <br> Depth-Multiplier = 0.5 | MS-COCO <br> VOC 2012 train_aug + trainval sets | N/A | N/A
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mobilenetv2_coco_voc_trainaug | MobileNet-v2 | MS-COCO <br> VOC 2012 train_aug set| N/A | N/A
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mobilenetv2_coco_voc_trainval | MobileNet-v2 | MS-COCO <br> VOC 2012 train_aug + trainval sets | N/A | N/A
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xception65_coco_voc_trainaug | Xception_65 | MS-COCO <br> VOC 2012 train_aug set| [6,12,18] for OS=16 <br> [12,24,36] for OS=8 | OS = 4
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12. **Scene Parsing through ADE20K Dataset**<br />
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Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, Antonio Torralba<br />
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[[link]](http://groups.csail.mit.edu/vision/datasets/ADE20K/). In CVPR,
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2017.
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2017.

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