Stars
A tool to magnify the local areas of images.
Salient Object Detection in the Deep Learning Era: An In-Depth Survey
The summary of code and paper for salient object detection with deep learning.
PyTorch-Based Evaluation Tool for Co-Saliency Detection
Applying si EBAB ngle image dehazing to underwater images.
A Two-Stage Underwater Enhancement Network Based on Structure Decomposition and Characteristics of Underwater Imaging, IEEE Journal of Oceanic Engineering, 2021
Python tools for evaluating Salient Object Detection (SOD) models on benchmark datasets
Paper “Real-world Underwater Enhancement: Challenging, Benchmark and Efficient Solutions” https://arxiv.org/abs/1901.05320
Underwater Object Detection [Optical]
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …
A simple and complete implementation of super-resolution paper.
This repository is used to collect underwater scene datasets and is always updated
SwinIR: Image Restoration Using Swin Transformer (official repository)
PyTorch implementation of Real-ESRGAN model
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Saliency-guided Visual Attention Modeling. #RSS2022 #SOD #RobotVision
Implementation of SFIT method of feature significance and importance for machine learning models
Image-to-Image Translation in PyTorch
A clean and readable Pytorch implementation of CycleGAN
This repository is the official PyTorch implementation of URSCT-SESR: Reinforced Swin-Convs Transformer for Simultaneous Underwater Sensing Scene Image Enhancement and Super-resolution.
Modern replication of WaterNet from "An Underwater Image Enhancement Benchmark Dataset and Beyond", IEEE TIP 2019