Methods › Computer Vision › Video Recognition Models › 3D ResNet-RS

3D ResNet-RS

3 papers tagged archive 2025-07-28

Introduced by Xianzhi Du et al. in Revisiting 3D ResNets for Video Recognition

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

3D ResNet-RS is an architecture and scaling strategy for 3D ResNets for video recognition. The key additions are:

PaperSource

Papers archive 2025-07-28

3 shown of 3, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

7 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Action Classification1
Classification1
Contrastive Learning1
General Classification1
Image Classification1
Video Recognition1
image-classification1

Usage over time archive 2025-07-28

Papers per year tagged with 3D ResNet-RS: 2019 to 2021, peak 1 1 0 2019: 1 paper 2019 2020: 1 paper 2020 2021: 1 paper 2021
Papers per year the archive tags with this method, by the paper's archive date (3 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Video Recognition Models

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections