PaperICCV · 2017

Mask R-CNN

Kaiming He Georgia Gkioxari Piotr Dollár Ross Girshick

arXiv 1703.06870 DOI View in graph

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3more pages cite it

2narratives

6registry papers cite it

In the Atlas

ModelPrimary source of

Mask R-CNN

Two-stage instance segmentation by adding a parallel FCN mask branch to Faster R-CNN — per-class binary masks predicted at each RoI under a decoupled per-pixel sigmoid loss, with RoIAlign's bilinear-sampling replacement for RoIPool's quantization that recovers pixel-accurate alignment.

Cited as a reference by 3 pages, grouped by domain

Detection 2

Faster R-CNN Feature Pyramid Network (FPN)

Segmentation 1

PointRend

Appears in 2 narratives

NarrativeDetection, Removing the Machinery NarrativeSegmentation, from Energy to Prompt

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2015Fully Convolutional Networks for Semantic SegmentationLong, Shelhamer, Darrell

Built upon by · 6

2017Feature Pyramid Networks for Object DetectionLin, Dollár et al.2017Focal Loss for Dense Object DetectionLin, Goyal et al.2019A Geometric Approach to Obtain a Bird's Eye View From an ImageAbbas, Zisserman 2019High-Resolution Representations for Labeling Pixels and RegionsSun, Zhao et al.2020PointRend: Image Segmentation As RenderingKirillov, Wu et al.2023Segment AnythingKirillov, Mintun et al.