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 51–60 of 199 papers

TitleStatusHype
Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling—0
Fully Decoupled Residual ConvNet for Real-Time Railway Scene Parsing of UAV Aerial Images—0
ESCNet: Gaze Target Detection With the Understanding of 3D Scenes—0
Edge-aware Guidance Fusion Network for RGB Thermal Scene ParsingCode1
Mesh Convolution with Continuous Filters for 3D Surface ParsingCode1
MSP : Refine Boundary Segmentation via Multiscale Superpixel—0
TBN-ViT: Temporal Bilateral Network with Vision Transformer for Video Scene Parsing—0
Pointly-supervised 3D Scene Parsing with Viewpoint BottleneckCode1
Exploiting Spatial-Temporal Semantic Consistency for Video Scene Parsing—0
Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models—0
Show:102550
← PrevPage 6 of 20Next →
All datasetsPGDP5KCityscapes test

Benchmark Results

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