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 161–170 of 199 papers

TitleStatusHype
Soft Correspondences in Multimodal Scene Parsing—0
Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions—0
FoveaNet: Perspective-aware Urban Scene Parsing—0
Dual-Glance Model for Deciphering Social RelationshipsCode0
Beyond Forward Shortcuts: Fully Convolutional Master-Slave Networks (MSNets) with Backward Skip Connections for Semantic Segmentation—0
Semantic Segmentation via Structured Patch Prediction, Context CRF and Guidance CRFCode0
Indoor Scene Parsing With Instance Segmentation, Semantic Labeling and Support Relationship Inference—0
Scene Parsing Through ADE20K Dataset—0
Deep Semantics-Aware Photo Adjustment—0
Recurrent Scene Parsing with Perspective Understanding in the LoopCode0
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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