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 61–70 of 199 papers

TitleStatusHype
Boundary Corrected Multi-scale Fusion Network for Real-time Semantic Segmentation—0
Exemplar-Based Face Parsing—0
Aerial-PASS: Panoramic Annular Scene Segmentation in Drone Videos—0
GINet: Graph Interaction Network for Scene Parsing—0
Deep Structured Scene Parsing by Learning with Image Descriptions—0
A Data-efficient Framework for Robotics Large-scale LiDAR Scene Parsing—0
Deep Semantics-Aware Photo Adjustment—0
Deep Multiphase Level Set for Scene Parsing—0
Deep Hierarchical Parsing for Semantic Segmentation—0
Deep Deconvolutional Networks for Scene Parsing—0
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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