facebookresearch/video-nonlocal-net

Health v2 · maintenance only

Flags: no_releases archived no_license

Adoption not part of the score

1990 stars · 320 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A research codebase from Facebook AI implementing Non-local Neural Networks for video classification, built on the Caffe2 framework. It reproduces the CVPR 2018 paper experiments on the Kinetics dataset with pre-trained models and training scripts.

Use cases

• reproduce non-local neural network video classification results
• train video classification models on Kinetics
• download pre-trained non-local network models
• study non-local operations in deep learning
• compare baseline vs non-local video model benchmarks

When to choose

• you need the exact reference implementation of the Non-local Neural Networks paper
• you are doing research on non-local attention blocks for video
• you can work with the legacy Caffe2 framework

When to avoid

• you need a maintained library or modern framework support (PyTorch/TensorFlow)
• you want production video classification
• you cannot use the deprecated Caffe2 dependency
• you need a permissive license (code is CC-BY-NC 4.0)

Facets

library · maturity abandoned

deep-learning machine-learning video-processing image-processing deep-learning computer-vision machine-learning python non-local-neural-networks video-classification caffe2 kinetics-dataset research-code cvpr-2018 video linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="facebookresearch/video-nonlocal-net")