Methods › Computer Vision › Object Detection Models › RepPoints

RepPoints

11 papers tagged archive 2025-07-28

Introduced by Ze Yang et al. in RepPoints: Point Set Representation for Object Detection

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

RepPoints is a representation for object detection that consists of a set of points which indicate the spatial extent of an object and semantically significant local areas. This representation is learned via weak localization supervision from rectangular ground-truth boxes and implicit recognition feedback. Based on the richer RepPoints representation, the authors develop an anchor-free object detector that yields improved performance compared to using bounding boxes.

PaperSource

Papers archive 2025-07-28

11 shown of 11, 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

19 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 Detection10
object-detection8
Object7
Knowledge Distillation3
Object Detection In Aerial Images2
Cell Detection1
Decoder1
Image Classification1
Instance Segmentation1
Model Compression1
Object Localization1
One-stage Anchor-free Oriented Object Detection1
Optical Character Recognition (OCR)1
Oriented Object Detection1
Philosophy1
Semantic Segmentation1
Transfer Learning1
image-classification1
regression1

Usage over time archive 2025-07-28

Papers per year tagged with RepPoints: 2019 to 2025, peak 2 2 0 2019: 2 papers 2019 2020: 2 papers 2020 2021: 2 papers 2021 2022: 2 papers 2022 2023: 2 papers 2023 2024: 0 papers 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (11 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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