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University of Manitoba
- Winnipeg, Canada
- @afperezm
Stars
Semantic segmentation from aerial imagery (baseline of the FLAIR #1 challenge)
Repository for the paper Enhancing Land Subsidence Awareness via InSAR Data and Deep Transformers
Examples of using the Planetary Computer
[CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models
Simple image segmentation pipeline in pytorch, using HRNet and SegFormer models
PyTorch Lightning Implementation of Diffusion, GAN, VAE, Flow models
PyTorch code and models for V-JEPA self-supervised learning from video.
Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive arch…
Image-to-Image Translation in PyTorch
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image …
PyTorch-Lightning implementation of CycleGan to transfer styles across images
The implementations of "Unsupervised Domain Adaptation for Remote Sensing Semantic Segmentation with Transformer"
[NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.
Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning
The official repository for the EuroCrops dataset.
🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis
A Satellite Time Series Dataset for Crop Type Identification
The official repo for [TGRS'22] "Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model"
A pytorch implement of ColorMapGAN (TGRS2020)
Unsupervised Domain Adaptation Using Generative Adversarial Networks for Semantic Segmentation of Aerial Images
A method to perform unsupervised cross-region adaptation of crop classifiers trained with satellite image time series.
This repository contains the classification module of the WorldCereal system.