Stars
The 3DPlan algorithm was developed during my diploma thesis, entitled "Automated detection of edges in point clouds using semantic information", at the School of Rural and Surveying Engineering of …
Quick start guide for benchmarking MagicBathyNet dataset in learning-based bathymetry and pixel-based classification using Remote Sensing imagery.
This repository is an extension of the Deep Learning on 3D Semantic Segmentation: a Detailed Review paper and contains an informative classification of almost 400 3D Semantic Segmentation papers us…
Datasets for deep learning with satellite & aerial imagery
OpenOceans helps you extract and analyze bathymetry from ICESat-2 lidar data.
Information and resources about bathymetric data from NASA's ICESat-2 mission, created by the ICESat-2 Science Team Bathymetry Working Group.
Initial code from "EPOS: Estimating 6D Pose of Objects with Symmetries", CVPR 2020.
A Library for configurable combination of pre-configured and possibly pre-trained Image and Language Models
A user-friendly introduction to the multi-modal BigEarthNet-MM dataset.
PyTorch implementation for multi-task learning with aerial images for the datasets: IEEE Data Fusion Contest 2018 (DFC2018) and ISPRS-Vaihingen.
seasonal-contrast is a ServiceNow Research project that was started at Element AI.
Image-to-Image Translation in PyTorch