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.

SimpleAICV:pytorch training and testing examples.

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

U-2-Net: U Square Net - Modified for paired image training of style transfer

Removebg is a library that effortlessly integrates the U2Net model, allowing users to easily remove backgrounds from images in their Android apps.

胃癌恶性病变组织检测

Copy objects from real life and directly paste them on a background image using only your phone's camera

Nested U-Net with two-level skip connections for speech enhancement

Implementation of the paper "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection" in TensorFlow.

基于显著性目标检测的非特定类别图像分割-中国大学生服务外包创新创业大赛

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.

Neural networks do line art stylization

基于u2net网络进行简单修改使其部署到rk3588板子上

Minimal scripts for testing U-2-Net models in Keras

a dual Attention U2Net and lightweighting model