mit-han-lab/temporal-shift-module
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2716
- days_rel: n/a
- days_push: 783
- n_releases_24m: 0
Adoption not part of the score
2221 stars · 421 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
PyTorch implementation of the Temporal Shift Module (TSM), an ICCV 2019 technique that adds temporal modeling to 2D CNNs at zero extra computation by shifting channels along the temporal dimension. It includes pretrained models on Kinetics and Something-Something and an online real-time demo for NVIDIA Jetson Nano.
Use cases
- classify actions in videos efficiently
- run real-time video recognition on edge devices like Jetson Nano
- achieve 3D CNN accuracy with 2D CNN cost for video understanding
- fine-tune pretrained video models on custom datasets
- build online low-latency gesture or activity recognition
- perform online video object detection
When to choose
- you need efficient temporal video modeling without 3D CNN compute
- deploying video recognition on low-power edge hardware
- you want strong pretrained checkpoints on Kinetics or Something-Something
When to avoid
- you need actively maintained code with recent framework support
- your task is image-only with no temporal component
- you need a modern video model ecosystem beyond this paper's scope
Facets
library · maturity maintenance
machine-learning computer-vision video-processing deep-learning computer-vision machine-learning deep-learning python temporal-shift-module video-understanding pytorch efficient-inference edge-deployment jetson-nano kinetics iccv-2019 pretrained-models real-time video gpu linux
6 sources
- readme: https://github.com/mit-han-lab/temporal-shift-module · fetched 2026-08-28 · cec6c87e6dca
- homepage: https://arxiv.org/abs/1811.08383 · fetched 2026-08-29 · 1f36c97ccc4d
- site_page: https://info.arxiv.org/about/donate.html · fetched 2026-08-29 · cca9c3a11c56
- site_page: https://info.arxiv.org/about/ourmembers.html · fetched 2026-08-29 · 47cbc55ff1de
- site_page: https://info.arxiv.org/about · fetched 2026-08-29 · a1f16f915a9a
- site_page: https://info.arxiv.org/labs/index.html · fetched 2026-08-29 · b14a8d05a0ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| mit-han-lab/temporal-shift-module | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="mit-han-lab/temporal-shift-module")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem