Projects in Awesome Lists tagged with multi-scale

https://github.com/res2net/res2net-pretrainedmodels

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

backbone jittor multi-scale pytorch res2net

Last synced: 16 May 2025

https://github.com/Res2Net/Res2Net-PretrainedModels

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

backbone jittor multi-scale pytorch res2net

Last synced: 26 Apr 2025

https://github.com/mahmoudnafifi/Exposure_Correction

Project page of the paper "Learning Multi-Scale Photo Exposure Correction" (CVPR 2021).

coarse-to-fine color-correction computational-photography cvpr cvpr2021 dataset datasets deep-learning deeplearning exposure-correction image-enhancement low-light-enhance low-light-image multi-scale overexposure-correction underexposure-correction

Last synced: 16 Apr 2025

https://github.com/researchmm/AOT-GAN-for-Inpainting

[TVCG'2023] AOT-GAN for High-Resolution Image Inpainting (codebase for image inpainting)

codebase high-resolution image-inpainting multi-scale

Last synced: 26 Feb 2025

https://github.com/benedekrozemberczki/MixHop-and-N-GCN

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

convolutional convolutional-layers convolutional-neural-networks deep-learning deepwalk gcn graph-attention graph-attention-networks graph-convolution graph-representation-learning machine-learning mixhop multi-scale ngcn node2vec pytorch pytorch-cnn tensorflow walklet walklets

Last synced: 17 Apr 2025

https://github.com/benedekrozemberczki/mixhop-and-n-gcn

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

convolutional convolutional-layers convolutional-neural-networks deep-learning deepwalk gcn graph-attention graph-attention-networks graph-convolution graph-representation-learning machine-learning mixhop multi-scale ngcn node2vec pytorch pytorch-cnn tensorflow walklet walklets

Last synced: 06 Apr 2025

https://github.com/d-li14/octconv.pytorch

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

deep-neural-networks iccv2019 imagenet mobilenet multi-scale octconv pytorch-implementation resnet

Last synced: 09 Apr 2025

https://github.com/d-li14/psconv

[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer

convolution eccv2020 feature-pyramids instance-segmentation mmdetection multi-scale object-detection pytorch

Last synced: 10 Apr 2025

https://github.com/d-li14/PSConv

[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer

convolution eccv2020 feature-pyramids instance-segmentation mmdetection multi-scale object-detection pytorch

Last synced: 07 May 2025

https://github.com/mica-mni/micaopen

Open Scripts and pipelines from the Multimodal Imaging and Connectome Analysis Lab at the Montreal Neurological Institute

connectomics gradients histology machine-learning multi-scale multimodal networks neuroimaging neuroscience

Last synced: 05 Apr 2025

https://github.com/MICA-MNI/micaopen

Open Scripts and pipelines from the Multimodal Imaging and Connectome Analysis Lab at the Montreal Neurological Institute

connectomics gradients histology machine-learning multi-scale multimodal networks neuroimaging neuroscience

Last synced: 01 May 2025

https://github.com/minzhang-whu/fdcnn

The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method

caffe change-detection deep-learning multi-scale multi-sensor pycaffe remote-sensing siamese-network

Last synced: 01 Mar 2026

https://github.com/MinZHANG-WHU/FDCNN

The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method

caffe change-detection deep-learning multi-scale multi-sensor pycaffe remote-sensing siamese-network

Last synced: 30 Mar 2025

https://github.com/res2net/res2net-detectron2

Res2Net for Panoptic Segmentation based on detectron2 (SOTA results).

detectron2 multi-scale panoptic res2net segmentation sota

Last synced: 18 Oct 2025

https://github.com/yochengliu/scasnet

Semantic Labeling in VHR Images via A Self-Cascaded CNN (ISPRS JPRS, IF=6.942)

computer-vision context-aware deep-learning multi-context multi-scale remote-sensing semantic-labelling semantic-segmentation

Last synced: 20 Feb 2026

https://github.com/ziqi-li/mgwr-gui

MGWR 2.0 Software

geographically-weighted-regression mgwr multi-scale spatial-analysis

Last synced: 21 Jul 2025

https://github.com/shawnnew/ammnet

A Tri-map free direct Alpha Matting.

adversarial-loss alpha-matting attention content-loss multi-scale

Last synced: 03 Apr 2025

https://github.com/minar09/u-net-attention

U-Net + Attention, extending U-Net model for semantic segmentation. Implemented with TensorFlow.

attention attention-gate attention-model attention-to-scale encoder-decoder multi-scale semantic-segmentation tensorflow u-net

Last synced: 11 Apr 2025

https://github.com/benedekrozemberczki/nestedsubtreehash

A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).

data-mining data-science deepwalk distributed-machine-learning feature-extraction gensim graph-classification graph-kernel graph-mining hashing large-scale-learning machine-learning multi-scale node2vec representation-learning streaming-data streaming-processing word2vec

Last synced: 11 Apr 2025

https://github.com/yeonghyeon/riad-pytorch

PyTorch implementation of "Reconstruction by inpainting for visual anomaly detection (RIAD)"

anomaly anomaly-detection inpainting mnist mnist-dataset multi-resolution multi-scale reconstruction

Last synced: 26 Apr 2025

https://github.com/sgpp/discotec

MPI-based code for distributed HPC simulations with the sparse grid combination technique. Docs->(https://discotec.readthedocs.io/)

combination-technique higher-dimensional multi-scale simulation sparse-grids vlasov-solver

Last synced: 12 Apr 2025

https://github.com/benedekrozemberczki/NestedSubtreeHash

A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).

data-mining data-science deepwalk distributed-machine-learning feature-extraction gensim graph-classification graph-kernel graph-mining hashing large-scale-learning machine-learning multi-scale node2vec representation-learning streaming-data streaming-processing word2vec

Last synced: 27 Mar 2025

https://github.com/simonwinther/rare-unet

This repository features RARE-UNet — a resolution-aware 3D U-Net for adaptive medical segmentation. It uses multi-scale entry blocks and resolution-based routing to dynamically adjust the inference path to input resolution. Combined with consistency-based training, RARE-UNet delivers accurate, efficient segmentation across resolutions.

3d-unet adaptive-inference brain-mri consistency-training dynamic-routing hippocampus-segmentation medical-image-segmentation multi-scale rare-unet resolution-aware tumor-segmentation