Methods › Computer Vision › Action Recognition Models › Asynchronous Interaction Aggregation

Asynchronous Interaction Aggregation

2 papers tagged archive 2025-07-28

Introduced by Jiajun Tang et al. in Asynchronous Interaction Aggregation for Action Detection

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

Asynchronous Interaction Aggregation, or AIA, is a network that leverages different interactions to boost action detection. There are two key designs in it: one is the Interaction Aggregation structure (IA) adopting a uniform paradigm to model and integrate multiple types of interaction; the other is the Asynchronous Memory Update algorithm (AMU) that enables us to achieve better performance by modeling very long-term interaction dynamically.

PaperSource

Papers archive 2025-07-28

2 shown of 2, 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

3 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 Detection1
Action Recognition1
Video Action Detection1

Usage over time archive 2025-07-28

Papers per year tagged with Asynchronous Interaction Aggregation: 2020 to 2023, peak 1 1 0 2020: 1 paper 2020 2021: 0 papers 2021 2022: 0 papers 2022 2023: 1 paper 2023
Papers per year the archive tags with this method, by the paper's archive date (2 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

Action Recognition Models

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