Underwater image dewatering and restoration
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Updated
Nov 4, 2024 - Python
Underwater image dewatering and restoration
Summary of Publicly Available Underwater Image Enhancement Method
Repository for the Aneris/Uvas bachelor project
Underwater Trash Detection
Awesome Underwater Image Enhancement (UIE) Methods
using Faster RCNN for detection of animals that live underwater.
Used Nature Inspired Algorithms like Genetic Algorithm, Ant Colony Optimization and Particle Swarm Optimization for Feature Selection to improve results of Underwater Image Classification
[AAAI 2024] AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection
[AAAI 2024] AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection
Pointers to large-scale underwater datasets and relevant resources.
Underwater image color correction and objection detect webapp
Underwater image enhancement using image sharpening methods on google colab
[TII 2024] An official implementation of ''A Novel Underwater Detection Method for Ambiguous Object Finding via Distraction Mining''
This code is for the honour thesis developed by Dannong Xu. It includes CTNet (developed algorithm in the thesis), Siamese Network, MAML, and Reptile.
Fast underwater image enhancement for Improved Visual Perception. #TensorFlow #PyTorch #RAL2020
This repository contains the code implementation used in the paper: "Image Labels Are All You Need for Coarse Seagrass Segmentation"
TIP 2022 | Twin Adversarial Contrastive Learning for Underwater Image Enhancement and Beyond.
System Implementation from 'Enhancing Underwater Images: Automatic Colorization using Deep Learning and Image Enhancement Techniques', 2023 IEEE International Conference on Marine Artificial Intelligence and Law (IEEE ICMAIL 2023).
A Deep Learning CycleGAN Based application, that can enhance the underwater images.
Due to highly variying domain features of different underwater enviornment, the publically available datasets alone are not the best fit to train a deep learning algorithm to predict trash
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