BCDU-Net
Pytorch-UNet
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| BCDU-Net | Pytorch-UNet | |
|---|---|---|
| 1 | 2 | |
| 676 | 8,358 | |
| - | - | |
| 0.0 | 3.9 | |
| about 1 year ago | 3 months ago | |
| Python | Python | |
| - | GNU General Public License v3.0 only |
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BCDU-Net
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[D] Extensions to U-nets
I compared a U-net, BCDU-net, and a U2-net for glacier semantic segmentation which is a pretty easy task. I don't still have the exact numbers, but U2-net was the best. I've also used a U2-net to map geologic structures which is a lot harder and the U2-net did well there too.
Pytorch-UNet
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Trying to find resources for "Image Segmentation using RL"
Probably mean something like unet: https://github.com/milesial/Pytorch-UNet
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How to add a pyramid pooling in UNet++?
Hi! I will give you some resources that might help you understand(I didnt implement a network but I can answer more questions about how you can train it). 1 This link gives you a broad explanation about UNet. 2 This is a link to a UNet used for binary segmentation. 3 This is a step by step guide. The UNet++ that I posted is good for multiclass segmentation. If you need more advice feel free to reply. Good luck!
What are some alternatives?
U-2-Net - The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
GlacierSemanticSegmentation - Identify glaciers in satellite images with a U^2-Net
face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch
perin - PERIN is Permutation-Invariant Semantic Parser developed for MRP 2020
lightning-hydra-template - Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard.
unet - unet for image segmentation
Wave-U-Net-for-Speech-Enhancement - Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.
UNetPlusPlus - [IEEE TMI] Official Implementation for UNet++
unet-nested-multiple-classification - This repository contains code for a multiple classification image segmentation model based on UNet and UNet++
medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
efficientdet-pytorch - A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights