RichardMei's starred repositories
Single-Underwater-Image-Enhancement-and-Color-Restoration
Single Underwater Image Enhancement and Color Restoration, which is Python implementation for a comprehensive review paper "An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging"
OptimizedImageEnhance
Several image/video enhancement methods, implemented by Java, to tackle common tasks, like dehazing, denoising, backscatter removal, low illuminance enhancement, featuring, smoothing and etc.
Deep-Generalized-Unfolding-Networks-for-Image-Restoration
Accepted by CVPR 2022
Awesome_Underwater_Datasets
Pointers to large-scale underwater datasets and relevant resources.
FightingCV-Paper-Reading
⭐⭐⭐FightingCV Paper Reading, which helps you understand the most advanced research work in an easier way 🍀 🍀 🍀
underwater_datasets
Pointers to a collection of underwater image-based datasets and relevant resources.
Single-Image-Super-Resolution
A collection of high-impact and state-of-the-art SR methods
xview2_1st_place_solution
1st place solution for "xView2: Assess Building Damage" challenge.
state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
xview2
Code for xView2 challenge (https://xview2.org/) submission. 2nd place submission in Track 3: "Evaluation Only". Ranked ranked 40th on leaderboard before unverified code was removed. Paper at https://arxiv.org/pdf/2004.05525.pdf. Presentation at https://slideslive.com/38926353/building-disaster-damage-assessment-in-satelite-imagery-with-multitemporal-fusion.
xView2_baseline
Baseline localization and classification models for the xView 2 challenge.
Change-Detection-Review
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.