drone-deploy-seg
BCDU-Net
| drone-deploy-seg | BCDU-Net | |
|---|---|---|
| 2 | 1 | |
| 5 | 676 | |
| - | - | |
| 0.0 | 0.0 | |
| over 3 years ago | over 1 year ago | |
| Python | Python | |
| - | - |
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drone-deploy-seg
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.
What are some alternatives?
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
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."
GlacierSemanticSegmentation - Identify glaciers in satellite images with a U^2-Net
perin - PERIN is Permutation-Invariant Semantic Parser developed for MRP 2020
unet - unet for image segmentation
UNetPlusPlus - [IEEE TMI] Official Implementation for 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.
MenstruatioNN - LSTM to predict menstruation and menstrual cycles.