The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
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Updated
Jun 26, 2024 - Python
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
✂️ Automated high-quality background removal framework for an image using neural networks. ✂️
🔥🔥🔥TensorRT for YOLOv8、YOLOv8-Pose、YOLOv8-Seg、YOLOv8-Cls、YOLOv7、YOLOv6、YOLOv5、YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
This repo contains code and a pre-trained model for clothes segmentation.
Demonstration using Google Colab to show how U-2-NET can be used for Background Removal, Changing Backgrounds, Bounding Box Creation, Salient Feature Highlighting and Salient Object Cropping.
Huggingface cloth segmentation using U2NET
Removebg is a library that effortlessly integrates the U2Net model, allowing users to easily remove backgrounds from images in their Android apps.
Unbagrnd - Free, Fast & Open-source AI-powered background remover for Windows, macOS, and Linux.
Python GUI for Interactive Image Background Removal using locally running AI point and click models such as Segment Anything and automatic whole-image models such as BiRefNet and Rembg
U-2-Net: U Square Net - Modified for paired image training of style transfer
Nested U-Net with two-level skip connections for speech enhancement
A framework to quickly generate high-quality stylized clothing from style images. The framework gives users the option to stylize only selected components. It uses Saliency guided style transfer to generate high-quality outputs.
基于u2net网络进行简单修改使其部署到rk3588板子上
Copy objects from real life and directly paste them on a background image using only your phone's camera
Implementation of the paper "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection" in TensorFlow.
U2Net + ISNet GT encoder, training base on ssim loss, iou loss and bce loss,experimented on tooth segmentation on panoramic X-ray images.
Neural networks do line art stylization
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