Methods › Computer Vision › RoI Feature Extractors › Deformable RoI Pooling

Deformable RoI Pooling

4 papers tagged archive 2025-07-28

Introduced by Jifeng Dai et al. in Deformable Convolutional Networks

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

Deformable RoI Pooling adds an offset to each bin position in the regular bin partition of the RoI Pooling. Similarly, the offsets are learned from the preceding feature maps and the RoIs, enabling adaptive part localization for objects with different shapes.

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

14 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
Action Detection2
Activity Detection2
Autonomous Driving2
Object Detection2
Semantic Segmentation2
Activity Recognition1
Continual Learning1
Decision Making1
Event Detection1
Graph Neural Network1
Instance Segmentation1
Object1
Scene Understanding1
Vessel Detection1

Usage over time archive 2025-07-28

Papers per year tagged with Deformable RoI Pooling: 2017 to 2023, peak 1 1 0 2017: 1 paper 2017 2018: 1 paper 2018 2019: 0 papers 2019 2020: 0 papers 2020 2021: 1 paper 2021 2022: 0 papers 2022 2023: 1 paper 2023
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

RoI Feature Extractors

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