An awesome list of layout generation papers

Convert geospatial datasets of shapefiles and rasters into COCO format datasets of images and JSON.

ReCo Dataset, the dataset files can be found at https://www.kaggle.com/datasets/fdudsde/reco-dataset.

Substation segmentation

Visualization library for well-known-text strings and shapely geometries.

Download City Scapes Dataset using this script

[CVPR23] Official Implementation of MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation

A collection of resources and papers on Diffusion Models

A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

A QGIS plugin tool using Segment Anything Model (SAM) to accelerate segmenting or delineating landforms in geospatial raster images.

Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure Segmentation

This is the pytorch implement of our paper "RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model"

CUDA-accelerated GIS and spatiotemporal algorithms

The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network.

The implementation of "Bootstrapping Semantic Segmentation with Regional Contrast" [ICLR 2022].

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

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

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

🤘 awesome-semantic-segmentation

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)