Hyunho Lee (hyunholee26)

hyunholee26

Geek Repo

Company:K-water (Korea Water Resources Corporation), and Arizona State University

Location:Tempe, United States

Home Page:hyunholee26.github.io

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Hyunho Lee's repositories

hyunholee26

Config files for my GitHub profile.

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AMM-fusenet

Code Repo for the Project "ReSIF"

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DDU

Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty

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DeepSatModels

Deep learning models for remote sensing applications

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DomainBed

DomainBed is a suite to test domain generalization algorithms

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GeoLS

Geodesic Label Smoothing for Image Segmentation

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google-research

Google Research

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hls-foundation-os

This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.

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hyunholee26.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

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InternImage

[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

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MedSegDiff

Official implementation of paper "MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model"

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MFGF-UNet

A multi-modality fusion and gated multi-filter U-Net for water area segmentation of remote sensing images

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multi-domain-imbalance

[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond

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Notes

tips

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PlotNeuralNet

Latex code for making neural networks diagrams

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pytorch-generative

Easy generative modeling in PyTorch.

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RMI

This is the code for the NeurIPS 2019 paper Region Mutual Information Loss for Semantic Segmentation.

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s1s2_water

S1S2-Water: A global dataset for semantic segmentation of water bodies from Sentinel-1 and Sentinel-2 satellite images

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Seg-Uncertainty

IJCAI2020 & IJCV2021 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo

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SegFormer

Official PyTorch implementation of SegFormer

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segment-anything

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.

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segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

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Semantic-Shapes

A semantic segmentation pipeline for custom image annotation

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sentinelhub-py

Download and process satellite imagery in Python using Sentinel Hub services.

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SOLC

Remote Sensing Sar-Optical Land-use Classfication Pytorch Pytorch高分辨率遥感语义分割/地物分割/地物分类

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Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

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utae-paps

PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.

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