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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 171–180 of 199 papers

TitleStatusHype
Geometric Scene Parsing with Hierarchical LSTM—0
GINet: Graph Interaction Network for Scene Parsing—0
Guaranteed Parameter Estimation for Discrete Energy Minimization—0
Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions—0
Holistic++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense—0
Image Parsing with a Wide Range of Classes and Scene-Level Context—0
Improving Fully Convolution Network for Semantic Segmentation—0
Indoor Scene Parsing With Instance Segmentation, Semantic Labeling and Support Relationship Inference—0
Information Pursuit: A Bayesian Framework for Sequential Scene Parsing—0
Interaction via Bi-Directional Graph of Semantic Region Affinity for Scene Parsing—0
Show:102550
← PrevPage 18 of 20Next →
All datasetsPGDP5KCityscapes test

Benchmark Results

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