multi-scale
There are 57 repositories under multi-scale topic.
Res2Net/Res2Net-PretrainedModels
(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
mahmoudnafifi/Exposure_Correction
Project page of the paper "Learning Multi-Scale Photo Exposure Correction" (CVPR 2021).
researchmm/AOT-GAN-for-Inpainting
[TVCG'2023] AOT-GAN for High-Resolution Image Inpainting (codebase for image inpainting)
benedekrozemberczki/MixHop-and-N-GCN
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
d-li14/octconv.pytorch
PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models
EndlessSora/TSIT
[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation
d-li14/PSConv
[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer
danxuhk/ContinuousCRF-CNN
Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation in CVPR 2017 (Spotlight)
MICA-MNI/micaopen
Open Scripts and pipelines from the Multimodal Imaging and Connectome Analysis Lab at the Montreal Neurological Institute
MinZHANG-WHU/FDCNN
The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method
anindox8/Ensemble-of-Multi-Scale-CNN-for-Dermatoscopy-Classification
Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.
AnjieCheng/OctaveConv-Pytorch
An PyTorch implementation of Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
tyui592/Avatar-Net_Pytorch
PyTorch implementation of "Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration"
haoxiangsnr/SpEx
Implementation of "SpEx: Multi-Scale Time Domain Speaker Extraction Network".
Res2Net/Res2Net-detectron2
Res2Net for Panoptic Segmentation based on detectron2 (SOTA results).
shangqigao/gsq-image-SR
Multi-scale deep neural networks for real image super-resolution
vivarium-collective/vivarium-core
Core Interface and Engine for Vivarium
DSIP-UPatras/sEMG-hilbert-curve
Accompaniment code for 'Hilbert sEMG data scanning for hand gesture recognition based on Deep Learning' published in NCAA.
Yochengliu/ScasNet
Semantic Labeling in VHR Images via A Self-Cascaded CNN (ISPRS JPRS, IF=6.942)
hieubkset/pytorch-image-deblurring
Multi-scale network for image deblurring
shekshaa/ResidualMFN
Official Pytorch Implementation of Residual Multiplicative Filter Networks
je-santos/ms_net
The MultiScale Network for hierarchical regression (MS-Net) performs 3D regression based on a hierarchical principle: coarse inputs provide broad information about the data, and progressively finer-scale inputs can be used to refine this information.
UW-ERSL/FluTO
Graded Multiscale Fluid Topology Optimization using Neural Networks
YeongHyeon/RIAD-PyTorch
PyTorch implementation of "Reconstruction by inpainting for visual anomaly detection (RIAD)"
prob1995/multi_scale_multi_object_template_matching
This is an example to find multiple objects in images that match a template using ORB and SIFT feature detection methods. Handles different scales and rotations.
Ziqi-Li/MGWR-GUI
MGWR 2.0 Software
keillernogueira/dynamic-rs-segmentation
Dynamic Multi-Context Segmentation of Remote Sensing Images based on Convolutional Networks
ritukeshbharali/openFE2
A parallel multi-scale FE2 code based on COMSOL Multi-physics and MATLAB
ShawnNew/AMMNet
A Tri-map free direct Alpha Matting.
minar09/U-Net-Attention
U-Net + Attention, extending U-Net model for semantic segmentation. Implemented with TensorFlow.
GISCheng/multi-scale-anomaly
Codes and data for a published work "Multi-scale detection and interpretation of spatio-temporal anomalies of human activities represented by time-series" (https://doi.org/10.1016/j.compenvurbsys.2021.101627)
benedekrozemberczki/NestedSubtreeHash
A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).
JGCRI/metis
Webpage: https://jgcri.github.io/metis/ Cheatsheet: https://github.com/JGCRI/metis/blob/master/metisCheatsheet.pdf
nils-hamel/eratosthene-suite
Multi-scale 4D-Earth framework front-end
SGpp/DisCoTec
MPI-based code for distributed HPC simulations with the sparse grid combination technique. Docs->(https://discotec.readthedocs.io/)
foryichuanqi/TKDE-Paper-2023.10-Time-series-classification-by-MEB-ResNet
Paper: Multi-Scale Ensemble Booster for Improving Existing TSD Classifiers. We proposed a highly easy-to-use performance enhancement framework called multi-scale ensemble booster(MEB), helping existing time series classification methods achieve performance leap. Our proposed MEB-ResNet achieved the most advanced time series classification ability.