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xaitalk/
r3d18-kinetics400-mirror

Name: r3d18-kinetics400-mirror
Availability: InStock

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R3D-18 Kinetics-400 (torchvision) — xaitalk mirror

This is a bit-identical mirror of the canonical artifact from PyTorch / torchvision.

The mirror exists only as a resilience fallback for the xaitalk library — the upstream remains authoritative. All credit and licensing for the model belong to the original authors.

Attribution

Field	Value
Original authors	PyTorch / torchvision
Upstream (authoritative)	https://download.pytorch.org/models/r3d_18-b3b3357e.pth
Source repo	https://github.com/pytorch/vision
Paper	https://arxiv.org/abs/1711.11248 (Tran et al. 2018, A Closer Look at Spatiotemporal Convolutions)
License	`bsd-3-clause` (inherited from upstream — please respect upstream's terms)
Mirror file	`r3d_18-b3b3357e.pth`
SHA-256	`b3b3357ead25631ec9c57362ff2128a92d0427e01e2cd184951a44380c3f2e9d`
Size	133,546,016 bytes (127.4 MB)

How xaitalk loads this file

python

from xaitalk.hub import ensure_model
weights_path = ensure_model("r3d18-kinetics400")
# Tries the canonical upstream first; falls back to this xaitalk mirror
# automatically if upstream is unreachable.

Why mirror?

xaitalk's research-grade reproducibility claim relies on every weight file being recoverable years from now. We mirror artifacts ≤ 2.5 GB under xaitalk/*-mirror so the pipeline survives upstream URL changes, repo renames, or deletions. Bit-level parity with the canonical is asserted in CI via python -m xaitalk.hub verify-mirrors.

Citation

If you use this model, please cite the original paper (not the mirror):

https://arxiv.org/abs/1711.11248 (Tran et al. 2018, A Closer Look at Spatiotemporal Convolutions)

xaitalk/r3d18-kinetics400-mirror