milesial/Pytorch-UNet

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Image-to-Image Translation in PyTorch

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377