facebookresearch/video-nonlocal-net
Re-implementation of CVPR 2018 paper Non-local Neural Networks for video classification using Caffe2.

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This repository provides a PyTorch/Caffe2 implementation of the Non-local Neural Network architecture for video classification. It includes training scripts with ResNet-50 backbone and pre-trained models for download. The implementation reproduces experiments from the original paper including benchmarks on the Kinetics dataset.
Frequently asked
- What is facebookresearch/video-nonlocal-net?
- Re-implementation of CVPR 2018 paper Non-local Neural Networks for video classification using Caffe2.
- Is video-nonlocal-net open source?
- Yes — facebookresearch/video-nonlocal-net is an open-source project tracked on heatdrop.
- What language is video-nonlocal-net written in?
- facebookresearch/video-nonlocal-net is primarily written in Python.
- How popular is video-nonlocal-net?
- facebookresearch/video-nonlocal-net has 2k stars on GitHub.
- Where can I find video-nonlocal-net?
- facebookresearch/video-nonlocal-net is on GitHub at https://github.com/facebookresearch/video-nonlocal-net.