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Amodal Instance Segmentation

Amodal instance segmentation aims to predict the region encompassing both visible and occluded parts of each object.

Description Credit: Amodal Instance Segmentation, ECCV 2016

Papers

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Showing 1–10 of 24 papers

TitleStatusHype
Segment Anything, Even Occluded—0
Amodal Instance Segmentation with Diffusion Shape Prior Estimation—0
Foundation Models for Amodal Video Instance Segmentation in Automated DrivingCode0
ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance SegmentationCode0
OBSeg: Accurate and Fast Instance Segmentation Framework Using Segmentation Foundation Models with Oriented Bounding Box PromptsCode2
BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion—0
GIN: Generative INvariant Shape Prior for Amodal Instance Segmentation—0
SynTable: A Synthetic Data Generation Pipeline for Unseen Object Amodal Instance Segmentation of Cluttered Tabletop ScenesCode1
OAFormer: Learning Occlusion Distinguishable Feature for Amodal Instance Segmentation—0
Amodal Intra-class Instance Segmentation: Synthetic Datasets and BenchmarkCode1
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