(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
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Updated
Dec 8, 2022 - Python
(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
[TVCG'2023] AOT-GAN for High-Resolution Image Inpainting (codebase for image inpainting)
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models
[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation
[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer
The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method
An PyTorch implementation of Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
Implementation of "SpEx: Multi-Scale Time Domain Speaker Extraction Network".
Res2Net for Panoptic Segmentation based on detectron2 (SOTA results).
Accompaniment code for 'Hilbert sEMG data scanning for hand gesture recognition based on Deep Learning' published in NCAA.
Multi-scale deep neural networks for real image super-resolution
Graded Multiscale Fluid Topology Optimization using Neural Networks
Pytorch Implementation of Residual Multiplicative Filter Networks, NeurIPS 2022
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.
MGWR 2.0 Software
Multi-scale network for image deblurring
PyTorch implementation of "Reconstruction by inpainting for visual anomaly detection (RIAD)"
Dynamic Multi-Context Segmentation of Remote Sensing Images based on Convolutional Networks
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