There are 1 repository under multiscale topic.
[ECCV22] BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
Multiscale Modeling
Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
pycaffe version of RSA 'Recurrent Scale Approximation for Object Detection in CNN'
Official GitHub mirror of MRST
Multigrid Neural Architecture
PyGenStability: Multiscale community detection with generalized Markov Stability
Generate a multiscale, chunked, multi-dimensional spatial image data structure that can serialized to OME-NGFF.
In this repository, we deal with the task of video frame interpolation with estimated optical flow. To estimate the optical flow we use Lucas-Kanade algorithm, Multiscale Lucas-Kanade algorithm (with iterative tuning), and Discrete Horn-Schunk algorithm. We explore the interpolation performance on Spheres dataset and Corridor dataset.
CUTS: A Framework for Multigranular Unsupervised Medical Image Segmentation
Efficient Multiscale Topology Optimization
Object trackers you deserve!
Inspired by the convolutional recurrent neural network(CRNN) and inception, we propose a multiscale time-frequency convolutional recurrent neural network (MTF-CRNN) for audio event detection. Our goal is to improve audio event detection performance and recognize target audio events that have different lengths and accompany the complex audio background. We exploit multi-groups of parallel and serial convolutional kernels to learn high-level shift invariant features from the time and frequency domains of acoustic samples. A two-layer bi-direction gated recurrent unit) based on the recurrent neural network is used to capture the temporal context from the extracted high-level features. The proposed method is evaluated on the DCASE2017 challenge dataset. Compared to other methods, the MTF-CRNN achieves one of the best test performances for a single model without pre-training and without using a multi-model ensemble approach.
FFT-based Homogenization
Scalable Insets for HiGlass: a new technique for interactively exploring and navigating large numbers of annotated patterns in multiscale visual spaces such as gigapixel images, matrices, or maps.
A Cascade Transformer-based Model for 3D Dose Distribution Prediction in Head and Neck Cancer Radiotherapy
A manager tool to facilitate two-scale coupling in multi-physics simulations using preCICE.
Object-Oriented Perl 5, Moose Library for Molecular Hacking
This package contains multiple 3D OCT denoising methods, including our proposed mixed multiscale BM4D (mmBM4D), which is one of the fastest multiscale 3D OCT denoising methods.
Deep learning model to predict complex stress and strain fields in hierarchical composites
The concurrent atomistic-continuum simulation environment
This repo contains the code for the paper "Data-driven discovery of multiscale chemical reactions governed by the law of mass action"
App for the visualization of grain growth using Cellular Automata, Monte carlo and MC static recrystallization algorithms
A Fracture Multiscale Model for Peridynamic enrichment within the Partition of Unity Method
Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)