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Implementation of a mechanical scanning imaging sonar on gazebo
sonar image dataset including 66 airplane 487 ship 578 seafloor
The SeabedObjects(Ship and Airplane) dataset is currently open for acedemic use now. This open dataset contains 385 ship images and 62 airplane sonar images, and can be used for acedemic purpose.
This repo gathers open-source sonar image resources for classification, detection, and segmentation.
BlAInder range scanner is a Blender add-on to simulate Lidar and Sonar measurements. The result can be saved as annotated 2D image or 3D point cloud.
Build system of Imaging Sonar Simulator
Messages for DVLs, multibeams, and imaging sonars.
Release code for Neural Implicit Surface Reconstruction using Imaging Sonar (ICRA 2023)
This is a data set for object detection in side-scan sonar images
[TPAMI 2024] Deep Diversity-Enhanced Feature Representation of Hyperspectral Images
Preception Consistency Ultarsound Images Super-resolution via Self-supervised CycleGAN
🗄️ Solutions to Database System Concepts Seventh Edition
Official implementation of the paper "Z∗: Zero-shot Style Transfer via Attention Rearrangement" a.k.a. "Z∗: Zero-shot Style Transfer via Attention Reweighting" (CVPR2024)
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Sonar detection on Yolov5/7 and Faster R-CNN. Style transfer mode Fast style transfer styleblank
Multibeam sonar plugin with NVIDIA Cuda library
A controllable SONAR image generation with text-to-image diffusion models, using style injection to diversity enhancement and GPT prompting.
Simple autofocus technique for synthetic aperture sonar (SAS)
A two-stage polyphonic sound event detection and localization method for both SED and DOA.
GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, datasets 2a. Final project for UCLA's EE C247: Neural Networks…
Attention temporal convolutional network for EEG-based motor imagery classification
Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
Modified Meshgraphnets with more features
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