OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
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Updated
Jul 1, 2024 - Python
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Implementation of Non-local Block.
Keras implementation of Non-local Neural Networks
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
Pytorch model zoo for human, include all kinds of 2D CNN, 3D CNN, and CRNN
[ECCV 2020] XingGAN for Person Image Generation
This is an official pytorch implementation of Fast Fourier Convolution.
Object Classification Training Framework
Criss-Cross Attention (2d&3d) for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.
This is an official implementation of our CVPR 2020 paper "Non-Local Neural Networks With Grouped Bilinear Attentional Transforms".
[Codes of paper]: Region-based Non-local operation for Video Classification
Adaptive Pyramid Context Network for Semantic Segmentation (APCNet CVPR'2019)
This is an official implementation of video classification for our CVPR 2020 paper "Non-Local Neural Networks With Grouped Bilinear Attentional Transforms".
[AAAI 2022] Fully Attentional Network for Semantic Segmentation
Non-local Modeling for Image Quality Assessment
The project is an official implement of our ACM Multimedia 2019 paper "Fast Non-Local Neural Networks with Spectral Residual Learning"
Python implementation of "A non-local algorithm for image denoising" paper.
Extending the LIDIA non-local denoiser to (i) videos and (ii) standard resolutions
Data analysis for CHSH experiments with collective measurements
A new implementation of Non-local Blocks from Non-local Neural Networks (Wang et al. 2018). https://arxiv.org/abs/1711.07971
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