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Found 8 papers, 4 papers with code
A Real-Time Framework for Domain-Adaptive Underwater Object Detection with Image Enhancement
Furthermore, to ensure balanced training for both tasks, we present a multi-stage training strategy aimed at consistently enhancing their performance.
SyreaNet: A Physically Guided Underwater Image Enhancement Framework Integrating Synthetic and Real Images
Although learning-based UIE methods have made remarkable achievements in recent years, it's still challenging for them to consistently deal with various underwater conditions, which could be caused by: 1) the use of the simplified atmospheric image formation model in UIE may result in severe errors; 2) the network trained solely with synthetic images might have difficulty in generalizing well to real underwater images.
BALF: Simple and Efficient Blur Aware Local Feature Detector
Local feature detection is a key ingredient of many image processing and computer vision applications, such as visual odometry and localization.
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling
This work presents FG-Net, a general deep learning framework for large-scale point clouds understanding without voxelizations, which achieves accurate and real-time performance with a single NVIDIA GTX 1080 GPU.
Ranked #1 on
Semantic Segmentation
on Semantic3D
MLFcGAN: Multi-level Feature Fusion based Conditional GAN for Underwater Image Color Correction
Color correction for underwater images has received increasing interests, due to its critical role in facilitating available mature vision algorithms for underwater scenarios.
Accurate 3D Localization for MAV Swarms by UWB and IMU Fusion
Driven by applications like Micro Aerial Vehicles (MAVs), driver-less cars, etc, localization solution has become an active research topic in the past decade.
Robotics
SO-Net: Self-Organizing Network for Point Cloud Analysis
This paper presents SO-Net, a permutation invariant architecture for deep learning with orderless point clouds.
Ranked #3 on
3D Part Segmentation
on IntrA
Google Map Aided Visual Navigation for UAVs in GPS-denied Environment
We propose a framework for Google Map aided UAV navigation in GPS-denied environment.
