OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
-
Updated
Aug 14, 2024 - Python
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Implementation of Non-local Block.
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
This is an official pytorch implementation of Fast Fourier Convolution.
Keras implementation of Non-local Neural Networks
[ECCV 2020] XingGAN for Person Image Generation
Criss-Cross Attention (2d&3d) for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.
Pytorch model zoo for human, include all kinds of 2D CNN, 3D CNN, and CRNN
Object Classification Training Framework
Fully Attentional Network for Semantic Segmentation [AAAI 2022]
Adaptive Pyramid Context Network for Semantic Segmentation (APCNet CVPR'2019)
[Codes of paper]: Region-based Non-local operation for Video Classification
Non-local Modeling for Image Quality Assessment
This is an official implementation of our CVPR 2020 paper "Non-Local Neural Networks With Grouped Bilinear Attentional Transforms".
This is an official implementation of video classification for our CVPR 2020 paper "Non-Local Neural Networks With Grouped Bilinear Attentional Transforms".
ImportFromURL is a Module / One-Liner that allows you to effortlessly import Ps1 Scripts, Psm1 Modules & Raw DLL Module Data into your current Powershell session without having to install or store any files locally. "Import From URL"
A simple idea of out-of-box convolution.
A dataset for benchmarking non-local capabilities of geometric machine learning models.
The project is an official implement of our ACM Multimedia 2019 paper "Fast Non-Local Neural Networks with Spectral Residual Learning"
The repository contains our implementation for the work to be presented at Ubicomp 2022
Add a description, image, and links to the non-local topic page so that developers can more easily learn about it.
To associate your repository with the non-local topic, visit your repo's landing page and select "manage topics."