Morphological segmentation of Galaxies

Classifies galaxy morphology with Bayesian CNN

Accompanying code for

Code for data reduction and analysis of Galaxy Zoo 2

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

A CIFAR10-like galaxy image dataset

Astro R-CNN: Instance Segmentation in Astronomical Images using Mask R-CNN Deep Learning

How to run Object Detection and Segmentation on a Video Fast for Free

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

Image segmentation - general superpixel segmentation & center detection & region growing

精装版Mask_R-CNN Pytorch

Mask R-CNN for object detection and instance segmentation on Keras==2.7.0 and TensorFlow==2.7.0

Rapid localization of sources in optical images

Train your own custom MaskRCNN Object Detection and Instance Segmentation model.

Implementation of our Pattern Recognition paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

README and scripts for the Cityscapes Dataset

It is modified tensorflow 2.x version of mask-rcnn.

🤘 awesome-semantic-segmentation

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Metallography Dataset from Additive Manufacturing

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

Code for semantic segmentation models and techniques applied to metal microstructures, in collaboration with ArcelorMittal

[CVPR 2020] CenterMask : Real-Time Anchor-Free Instance Segmentation

[CVPR 2021] CPS: Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.

Pytorch implementation for paper "Bounding Box Tightness Prior for Weakly Supervised Image Segmentation" published in MICCAI 2021