Methods › Computer Vision › Image Model Blocks › LRNet

Local Relation Network

LRNet

4 papers tagged archive 2025-07-28

Introduced by Han Hu et al. in Local Relation Networks for Image Recognition

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

The Local Relation Network (LR-Net) is a network built with local relation layers which represent a feature image extractor. This feature extractor adaptively determines aggregation weights based on the compositional relationship of local pixel pairs.

PaperSource

Papers archive 2025-07-28

4 shown of 4, 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

6 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
Change Detection1
General Classification1
Image Classification1
Open-Ended Question Answering1
Relation1
Relation Network1

Usage over time archive 2025-07-28

Papers per year tagged with LRNet: 2019 to 2024, peak 2 2 0 2019: 1 paper 2019 2020: 0 papers 2020 2021: 1 paper 2021 2022: 0 papers 2022 2023: 0 papers 2023 2024: 2 papers 2024
Papers per year the archive tags with this method, by the paper's archive date (4 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

Image Model Blocks

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