[AAAI 2024] AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection
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Updated
Jun 9, 2024 - Python
[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
Underwater image color correction
[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"
Awesome Underwater Image Enhancement (UIE) Methods
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).
Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020
Dataset for semantic Segmentation of Underwater IMagery.
Underwater image dewatering and restoration
Standalone Raspberry Pi, high-performing underwater action camera with audio-based interface or a web interface.
GitHub Repository for Blogpost: Monitoring environmental conditions near underwater datacenters using Deep Learning
TCSVT 2022 | Target Oriented Perceptual Adversarial Fusion Network for Underwater Image Enhancement.
This repository contains the code implementation used in the paper "Multi-species Seagrass Detection and Classification from Underwater Images"
Color restoration of underwater images with UGAN, implemented with PyTorch.
Optical flow pipeline to train a model able to predict flow in underwater scenarios
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