Methods › Computer Vision › Object Detection Models › SASA

Stand-Alone Self Attention

SASA

7 papers tagged archive 2025-07-28

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

Stand-Alone Self Attention (SASA) replaces all instances of spatial convolution with a form of self-attention applied to ResNet producing a fully, stand-alone self-attentional model.

Source: Stand-Alone Self-Attention in Vision Models

Papers archive 2025-07-28

7 shown of 7, 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

9 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
Object Detection2
object-detection2
3D Object Detection1
CPU1
Face Anti-Spoofing1
Face Recognition1
GPU1
Language Modelling1
Style Transfer1

Usage over time archive 2025-07-28

Papers per year tagged with SASA: 2019 to 2024, peak 3 3 0 2019: 1 paper 2019 2020: 0 papers 2020 2021: 1 paper 2021 2022: 2 papers 2022 2023: 0 papers 2023 2024: 3 papers 2024
Papers per year the archive tags with this method, by the paper's archive date (7 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

Object Detection Models

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