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Hyunho Lee's Projects

active_learning_coreset icon active_learning_coreset

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

aisformer icon aisformer

[BMVC 2022] AISFormer: Amodal Instance Segmentation with Transformer

coreset-al icon coreset-al

A greedy implementation of coreset based active learning for image classification (https://arxiv.org/abs/1708.00489)

ddu icon ddu

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

domainbed icon domainbed

DomainBed is a suite to test domain generalization algorithms

esrgan icon esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

geols icon geols

Geodesic Label Smoothing for Image Segmentation

gpm icon gpm

KICT Satellite Precipitation Converter

hls-foundation-os icon hls-foundation-os

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

hrnet-semantic-segmentation icon hrnet-semantic-segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

internimage icon internimage

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

k-frm icon k-frm

Korean - Flood Risk assessment Model

kubernetes-container-service-gitlab-sample icon kubernetes-container-service-gitlab-sample

This code shows how a common multi-component GitLab can be deployed on Kubernetes cluster. Each component (NGINX, Ruby on Rails, Redis, PostgreSQL, and more) runs in a separate container or group of containers.

medsegdiff icon medsegdiff

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

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