unet
drrmsan
unet | drrmsan | |
---|---|---|
1 | 1 | |
4,445 | 7 | |
- | - | |
0.0 | 9.3 | |
27 days ago | about 3 years ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
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unet
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U-net Returning Black Square As Prediction
Issue with the model architecture and what I’m trying to do with it? I’ve used the model from this GitHub project (https://github.com/zhixuhao/unet), as it seemed somewhat similar to what I was trying to do. I understand what is happening from layer to layer, but not the input/output parts. (I’ll put the code for it below)
drrmsan
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DRRMSAN: Deep Residual Regularized Multi-Scale Attention Networks for segmentation of medical images.
Code: https://github.com/Jimut123/drrmsan
What are some alternatives?
Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
segmentation_models - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
ETCI-2021-Competition-on-Flood-Detection - Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training
cellpose - a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
BCDU-Net - BCDU-Net : Medical Image Segmentation
rankseg - [JMLR 2023] RankSEG: A consistent ranking-based framework for segmentation