Methods › Computer Vision › RoI Feature Extractors › RoIWarp

RoIWarp

1 paper tagged archive 2025-07-28

Introduced by Jifeng Dai et al. in Instance-aware Semantic Segmentation via Multi-task Network Cascades

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

Region of Interest Warping, or RoIWarp, is a form of RoIPool that is differentiable with respect to the box position. In practice, this takes the form of a RoIWarp layer followed by a standard Max Pooling layer. The RoIWarp layer crops a feature map region and warps it into a target size by interpolation.

PaperSource

Papers archive 2025-07-28

1 shown of 1, 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
Multi-Human Parsing1
Object Detection1
Segmentation1
Semantic Segmentation1
object-detection1

Usage over time archive 2025-07-28

Papers per year tagged with RoIWarp: 2015 to 2015, peak 1 1 0 2015: 1 paper 2015
Papers per year the archive tags with this method, by the paper's archive date (1 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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