(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
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Dec 8, 2022 - Python
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multi-scale
Here are 74 public repositories matching this topic...
Project page of the paper "Learning Multi-Scale Photo Exposure Correction" (CVPR 2021).
deep-learning dataset deeplearning datasets computational-photography cvpr color-correction image-enhancement multi-scale low-light-image exposure-correction low-light-enhance overexposure-correction underexposure-correction coarse-to-fine cvpr2021
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Dec 24, 2023 - MATLAB
[TVCG'2023] AOT-GAN for High-Resolution Image Inpainting (codebase for image inpainting)
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May 8, 2024 - Python
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
machine-learning deep-learning tensorflow pytorch deepwalk convolutional-layers convolutional-neural-networks ngcn convolutional gcn node2vec pytorch-cnn graph-attention-networks multi-scale graph-representation-learning walklet graph-convolution graph-attention walklets mixhop
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Nov 6, 2022 - Python
PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models
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Jul 8, 2020 - Python
[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation
generative-adversarial-network gan style-transfer image-manipulation image-generation versatile multi-modal feature-transformation image-to-image-translation multi-scale two-stream-networks semantic-image-synthesis eccv2020
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Jul 25, 2024 - Python
[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer
pytorch convolution object-detection instance-segmentation multi-scale mmdetection feature-pyramids eccv2020
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Jul 14, 2020 - Python
Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation in CVPR 2017 (Spotlight)
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Jun 2, 2018 - C++
Open Scripts and pipelines from the Multimodal Imaging and Connectome Analysis Lab at the Montreal Neurological Institute
machine-learning neuroscience neuroimaging networks gradients connectomics histology multimodal multi-scale
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May 9, 2025 - Jupyter Notebook
The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method
caffe deep-learning remote-sensing pycaffe siamese-network change-detection multi-scale multi-sensor
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Sep 15, 2020 - Python
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.
deep-learning ensemble-learning densenet convolutional-neural-networks binary-classification inception-v3 senet multi-scale seresnext cyclic-learning-rate skin-lesion-classification shades-of-gray tensorflow-keras color-constancy efficientnet
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Oct 27, 2020 - Jupyter Notebook
An PyTorch implementation of Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
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Apr 16, 2019 - Python
PyTorch implementation of "Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration"
deep-learning pytorch style-transfer multi-scale pytorch-implementation avatar-net feature-decoration
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Jul 24, 2023 - Jupyter Notebook
Implementation of "SpEx: Multi-Scale Time Domain Speaker Extraction Network".
speech-processing speech-separation multi-scale spex conv-tasnet target-speaker-extraction speaker-separation
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Jul 19, 2020 - Python
Res2Net for Panoptic Segmentation based on detectron2 (SOTA results).
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Jun 8, 2020 - Python
Accompaniment code for 'Hilbert sEMG data scanning for hand gesture recognition based on Deep Learning' published in NCAA.
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Feb 7, 2023 - Python
Multi-scale deep neural networks for real image super-resolution
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Sep 3, 2020 - Python
A parallel multi-scale FE2 code based on COMSOL Multi-physics and MATLAB
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Feb 10, 2021 - MATLAB
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.
machine-learning physics regression segmentation convolutional-neural-networks multiscale 3d lattice-boltzmann volumetric porous-media permeability multi-scale porous-media-flow digital-rockphysics digital-rocks single-phase-flow
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Dec 7, 2022 - Jupyter Notebook
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