Methods › Computer Vision › One-Stage Object Detection Models › ExtremeNet

ExtremeNet

2 papers tagged archive 2025-07-28

Introduced by Xingyi Zhou et al. in Bottom-up Object Detection by Grouping Extreme and Center Points

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

ExtremeNet is a a bottom-up object detection framework that detects four extreme points (top-most, left-most, bottom-most, right-most) of an object. It uses a keypoint estimation framework to find extreme points, by predicting four multi-peak heatmaps for each object category. In addition, it uses one heatmap per category predicting the object center, as the average of two bounding box edges in both the x and y dimension. We group extreme points into objects with a purely geometry-based approach. We group four extreme points, one from each map, if and only if their geometric center is predicted in the center heatmap with a score higher than a pre-defined threshold, We enumerate all O(n⁴) combinations of extreme point prediction, and select the valid ones.

PaperSourceSee Code · xingyizhou/ExtremeNet

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
Object2
Object Detection2
object-detection2
Image Generation1
Keypoint Estimation1

Usage over time archive 2025-07-28

Papers per year tagged with ExtremeNet: 2019 to 2020, peak 1 1 0 2019: 1 paper 2019 2020: 1 paper 2020
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

One-Stage Object Detection ModelsObject Detection Models

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