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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 KINS DatasetCode0
Foundation Models for Amodal Video Instance Segmentation in Automated DrivingCode0
Learning Semantics-aware Distance Map with Semantics Layering Network for Amodal Instance SegmentationCode0
Learning to See the Invisible: End-to-End Trainable Amodal Instance SegmentationCode0
ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance SegmentationCode0
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation—0
MUVA: A New Large-Scale Benchmark for Multi-View Amodal Instance Segmentation in the Shopping Scenario—0
OAFormer: Learning Occlusion Distinguishable Feature for Amodal Instance Segmentation—0
Segment Anything, Even Occluded—0
Amodal Instance Segmentation—0
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