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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 11–20 of 24 papers

TitleStatusHype
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
BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion—0
GIN: Generative INvariant Shape Prior for Amodal Instance Segmentation—0
OAFormer: Learning Occlusion Distinguishable Feature for Amodal Instance Segmentation—0
MUVA: A New Large-Scale Benchmark for Multi-View Amodal Instance Segmentation in the Shopping Scenario—0
2D Amodal Instance Segmentation Guided by 3D Shape Prior—0
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation—0
Layered Embeddings for Amodal Instance SegmentationCode0
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