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Great job for the field of Semantic Segmentation! However, when I'm trying to count the trainable parameter number of this network, I found the mmseg official tool_(tools/analysis_tools/get_flops.py)_…
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Hi,
I have been using these repositories and MAX78000 FTHR_RevA kit to conduct a semantic segmentation task for eventual embedded system application. I have a couple questions regarding the general f…
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hello，
i'm very interested in the paper. I have some questions about the execution of the entire process.
1."python train.py --machine ws --config configs/cityscapes_monodepth_highres_dec5_crop.yml
…
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related paper
|摘要|
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|We propose a novel semantic segmentation algorithm by learning a deep deconvolution network. We learn the network on top of the convolutional layers adopted from VGG 16-…
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FCN32s-ResNet18
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https://arxiv.org/abs/1411.4038
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The objective of this task is to explore the possibilities of using semantic segmentation for:
- Detecting signal posts
- Detecting crosswalk
- Detecting lanes
- Use lane detection for reinforceme…
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### 概要
* [Fully Convolutional Networks for Semantic Segmentation](https://arxiv.org/pdf/1411.4038.pdf)
* アルゴリズム系
* semantic segmentation. CNNの最後の全結合層をconvolutionに置き替えることによって、二次元マップを出力。
### アルゴ…
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related paper
|摘要|
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|Semantic segmentation requires both rich spatial information and sizeable receptive field. However, modern approaches usually compromise spatial resolution to achieve re…
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# Reference
- [ ] [paper - 2019 - Fast-SCNN: Fast Semantic Segmentation Network](https://arxiv.org/pdf/1902.04502.pdf)
- [ ] [Fast-SCNN: Fast Semantic Segmentation Network 论文学习](https://blog.csdn.ne…