Methods › Computer Vision › Anchor Generation Modules › Guided Anchoring

Guided Anchoring

3 papers tagged archive 2025-07-28

Introduced by Jiaqi Wang et al. in Region Proposal by Guided Anchoring

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

Guided Anchoring is an anchoring scheme for object detection which leverages semantic features to guide the anchoring. The method is motivated by the observation that objects are not distributed evenly over the image. The scale of an object is also closely related to the imagery content, its location and geometry of the scene. Following this intuition, the method generates sparse anchors in two steps: first identifying sub-regions that may contain objects and then determining the shapes at different locations.

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
Object Detection2
object-detection2
Autonomous Driving1
GPU1
Lane Detection1
Management1
Region Proposal1

Usage over time archive 2025-07-28

Papers per year tagged with Guided Anchoring: 2019 to 2021, peak 2 2 0 2019: 1 paper 2019 2020: 0 papers 2020 2021: 2 papers 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

Anchor Generation Modules

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