OpenPointClass
BCDU-Net
| OpenPointClass | BCDU-Net | |
|---|---|---|
| 2 | 1 | |
| 104 | 676 | |
| 3.8% | - | |
| 5.2 | 0.0 | |
| 2 months ago | over 1 year ago | |
| C++ | Python | |
| GNU Affero General Public License v3.0 | - |
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OpenPointClass
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?
Unreal-Engine-Guide - Unreal Engine 5 Guide. Learn to develop games for Windows, Linux, macOS, iOS, Android, Xbox Series X|S, PlayStation 5, Nintendo Switch.
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Daisykit - Daisykit is an easy AI toolkit with face mask detection, pose detection, background matting, barcode detection, and more. With Daisykit, you don't need AI knowledge to build AI software.
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."
AR-VR-Guide - A guide covering Augmented Reality (AR), Virtual Reality (VR), Mixed Reality(MR), and Extended Reality(XR). Including headsets such as Apple Vision Pro, HoloLens, PlayStation VR, and Quest 3.
GlacierSemanticSegmentation - Identify glaciers in satellite images with a U^2-Net
ScanRig - Multi-Cameras/Lighting Acquisition Setup for Photogrammetry
perin - PERIN is Permutation-Invariant Semantic Parser developed for MRP 2020
OpenMVG (open Multiple View Geometry) - open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
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.