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. ✂️
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.
Huggingface cloth segmentation using U2NET
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
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.
Minimal scripts for testing U-2-Net models in Keras
It should take a photo containing clothing as input, and then output the masked and cropped photo
SCSST (Saliency Clothes Segmentation and Style Transfer), Change style of your clothes on the fly!
App that uses some of the AWS functionalities. Enables storing images in S3 Bucket and utilizes Lambda to execute operations on an image and save it back to S3.
Background Removal and Replacement API built using the Sanic Framework
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