SOTAVerified

Scene Parsing

Scene parsing is to segment and parse an image into different image regions associated with semantic categories, such as sky, road, person, and bed. MIT Description

Papers

Showing 1120 of 199 papers

TitleStatusHype
Uni-3D: A Universal Model for Panoptic 3D Scene ReconstructionCode1
VIBUS: Data-efficient 3D Scene Parsing with VIewpoint Bottleneck and Uncertainty-Spectrum ModelingCode1
Boosting Night-time Scene Parsing with Learnable FrequencyCode1
A Dense Material Segmentation Dataset for Indoor and Outdoor Scene ParsingCode1
Plane Geometry Diagram ParsingCode1
TO-Scene: A Large-scale Dataset for Understanding 3D Tabletop ScenesCode1
Edge-aware Guidance Fusion Network for RGB Thermal Scene ParsingCode1
Mesh Convolution with Continuous Filters for 3D Surface ParsingCode1
Pointly-supervised 3D Scene Parsing with Viewpoint BottleneckCode1
BORM: Bayesian Object Relation Model for Indoor Scene RecognitionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PGDPNetTotal Accuracy84.7Unverified
2Inter-GPSTotal Accuracy27.3Unverified
#ModelMetricClaimedVerifiedStatus
1VCD No CoarsemIoU82.3Unverified