Methods › Computer Vision › Semantic Segmentation Modules › Bilateral Guided Aggregation Layer

Bilateral Guided Aggregation Layer

2 papers tagged archive 2025-07-28

Introduced by Changqian Yu et al. in BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation

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

Bilateral Guided Aggregation Layer is a feature fusion layer for semantic segmentation that aims to enhance mutual connections and fuse different types of feature representation. It was used in the BiSeNet V2 architecture. Specifically, within the BiSeNet implementation, the layer was used to employ the contextual information of the Semantic Branch to guide the feature response of Detail Branch. With different scale guidance, different scale feature representations can be captured, which inherently encodes the multi-scale information.

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

5 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
Segmentation2
Edge-computing1
Lip Reading1
Real-Time Semantic Segmentation1
Semantic Segmentation1

Usage over time archive 2025-07-28

Papers per year tagged with Bilateral Guided Aggregation Layer: 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

Semantic Segmentation Modules

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