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# Reference
- [ ] [paper - 2018 - Guided Upsampling Network for Real-Time Semantic Segmentation](https://arxiv.org/pdf/1807.07466v1)
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Hello, I trained on my two-category semantic segmentation task. I found that the first few pieces of data trained well, but the performance will be very poor later. I output the gradient information…
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|One of recent trends [30, 31, 14] in network architecture design is stacking small filters (e.g., 1x1 or 3x3) in the entire network because the stacked small filters is …
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|Semantic image segmentation is an essential component of modern autonomous driving systems, as an accurate understanding of the surrounding scene is crucial to navigatio…
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|The demand of applying semantic segmentation model on mobile devices has been increasing rapidly. Current state-of-the-art networks have enormous amount of parameters he…
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|Recently, very deep convolutional neural networks (CNNs) have shown outstanding performance in object recognition and have also been the first choice for dense classific…
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I have troubles with integration of semantic segmentation network and CRF layer.
This is the chunk of code where I'm trying to build a network:
```python
input_shape=(512, 512, 3)
n_class=1
i…
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@jrieke
Hi, everybody, I'm looking forward to contributing this project can I add
1. Semantic Segmentation
2. Generative Adversarial Networks
3. Image Caption
4. Style Transfer
as I t…
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> A PyTorch-Based Framework for Deep Learning in Computer Vision
- **待完善**
- [Image Classification](https://github.com/youansheng/torchcv/tree/master/methods/cls)
- VGG: Very Deep Convolu…
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|摘要|
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|The ability to perform pixel-wise semantic segmentation in real-time is of paramount importance in mobile applications. Recent deep neural networks aimed at this task ha…