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

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Showing 111–120 of 199 papers

TitleStatusHype
When Segmentation is Not Enough: Rectifying Visual-Volume Discordance Through Multisensor Depth-Refined Semantic Segmentation for Food Intake Tracking in Long-Term Care—0
Deep Multiphase Level Set for Scene Parsing—0
Dynamic Multi-Scale Filters for Semantic SegmentationCode0
What's There in the DarkCode0
What's There in the DarkCode0
Boosting Real-Time Driving Scene Parsing with Shared SemanticsCode0
Holistic++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense—0
SPGNet: Semantic Prediction Guidance for Scene Parsing—0
Consensus Feature Network for Scene Parsing—0
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse ConvolutionsCode0
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All datasetsPGDP5KCityscapes test

Benchmark Results

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