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May 11, 2012 · Tensorflow - 语义分割 Deeplab API 之 Demo...Tensorflow DeepLab 语义分割还提供了在 PASCAL VOC 2012, Cityscapes, ADE20K 三个分割数据集上的训练实现. 1. Train on PASCAL VOC 2012 1.1 数据集准备 主要... 【Tensorflow object detection API】使用SSD-Mobilenet训练模型+ubuntu 16.04+python3(步骤十分清晰

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According to researchers, the proposed method archieves real-time inference speed and it is able to reduce boundary errors for various state-of-the-art models on popular datasets such as CityScapes, ADE20K, and GTA5. The implementation of the method was open-sourced and is available on Github.

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According to researchers, the proposed method archieves real-time inference speed and it is able to reduce boundary errors for various state-of-the-art models on popular datasets such as CityScapes, ADE20K, and GTA5. The implementation of the method was open-sourced and is available on Github.

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ade20k_mit:一个场景理解的新的数据集,这个数据集是可以免费下载的,共151个类别。 数据集有很多,本系列教程不局限于具体数据集,可能也会用到Kaggle比赛之类的数据集,具体每个数据集怎么处理,数据集的格式是什么样的,后续文章用到什么数据集会具体 ...

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on Cityscapes and ADE20K. In addition, our code also make great contributions to Context Embedding with Edge Perceiving (CE2P) [7], which won the 1st places in all hu-man parsing tracks in the 2nd LIP Challenge. 4. Acknowledgement The code is heavily borrowed from pytorch-deeplab-resnet1. We greatly appreciate the efforts made by Isht Dwivedi ...

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By replacing dilated convolutions with the proposed JPU module, our method achieves the state-of-the-art performance in Pascal Context dataset (mIoU of 53.13%) and ADE20K dataset (final score of 0.5584) while running 3 times faster.

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