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I've been trying to run your fetal brain segmentation algorithm on our recently collected fetal fMRI data using the code on Github.
It seems to run fine on google collab, but the predicted outputs fo…
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Thank you for your work. In paper "Table 7: Metrics for segmentation masks*, are the AP scores AP_mask or AP_bbox? Though AP_mask seems natural metric here, I am confused because "Fig. 5: Mask R-CNN …
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## 書誌情報
### 論文リンク
https://arxiv.org/abs/2102.13645v1
### 著者/所属機関
Davood Karimi, Serge Vasylechko, Ali Gholipour
### conf/journal
arxiv
### year
2021
## どんな論文か?
Like other applications in com…
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Hi,
afer reading your paper, I think bayesian can be used for segmentation, then I add bayes into CNN by resampling weight and bias in conv3d, but the result is bad. If it is possible, could you he…
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thanks for you share; recently i am also interest in Panoptic Segmentation; now i also train [Mask R-CNN](https://arxiv.org/abs/1703.06870) and [Encoder-Decoder with Atrous Separable Convolution for S…
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### Have you read the Contributing Guidelines on issues?
- [X] I have read the [Contributing Guidelines on issues](https://github.com/ajay-dhangar/algo/blob/main/CONTRIBUTING.md).
### Description
C…
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related paper
|摘要|
|---|
|State-of-the-art approaches for semantic image segmentation are built on Convolutional Neural Networks (CNNs). The typical segmentation architecture is composed of (a) a…
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Some CNNs
- https://github.com/BertMoons/Comparing-CNN-Architectures
- https://github.com/CeLuigi/models-comparison.pytorch
- https://github.com/yeephycho/nasnet-tensorflow
Some superresolutions…
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First of all, thank you for your new work,I'd like to know a few questions
1. How does the speed compare to mobilenetv3, real time (FPS) ?
2. Whether the aspp module in CNN can be replaced?
3. The…
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## 🚀 Feature
More ResNet backbones (e.g., resnet18, resnet34, and resnet101) for Object Detection and Instance Segmentation.
## Motivation
Detectron2 provides a curated list of pre-trained det…