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https://arxiv.org/pdf/1504.08083v2.pdf
This paper proposes a Fast Region-based Convolutional Network method (Fast R-CNN) for object detection. Fast R-CNN builds on previous work to efficiently clas…
leo-p updated
7 years ago
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Hey John! Here's the curriculum that I've worked on in the past. It's a bit less focused on language models as a sole topic, and more on modern ML from a broad perspective.
- Essential Concepts of …
zmaas updated
2 months ago
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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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I've found this repo very interesting. If you are interested, I suggest to include these papers:
- In the section "Unsupervised Deep Learning Methods"
[Pansharpening by convolutional neural netw…
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Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
http://arxiv.org/abs/1608.03981
With residual connection, we can train very deep, deeper convolution network. The paper …
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H @sanghoon ,
pvanet is a very deep network.
as resnet, I can find a network description generator (https://github.com/cvjena/cnn-models/blob/master/ResNet_preact/resnet_preact.py)
But i can …
twmht updated
7 years ago
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Detecting Stress Levels from PPG Sensor Data using Neural Networks.
:red_circle: **Aim** : The goal o…
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We need a small program to use pattern detection algo on two data with and without patterns.
Then we will immediately see is it efficient or not without using it on huge datasets
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I want to verify the output below
it only use Mask R-CNN segmentation to detect dyna…
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Issue by @MaxUlysse, moved from SciLifeLab#666
- [ ] [ExpansionHunter](https://github.com/Illumina/ExpansionHunter) for estimating repeat sizes
- [ ] [QDNAseq](https://github.com/ccagc/QDNAseq) CN…