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 141–150 of 199 papers

TitleStatusHype
Spatially Constrained Location Prior for Scene Parsing—0
SPGNet: Semantic Prediction Guidance for Scene Parsing—0
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More—0
TBN-ViT: Temporal Bilateral Network with Vision Transformer for Video Scene Parsing—0
Hardware implementation of timely reliable Bayesian decision-making using memristors—0
Treasure What You Have: Exploiting Similarity in Deep Neural Networks for Efficient Video Processing—0
Variational Context-Deformable ConvNets for Indoor Scene Parsing—0
Video Scene Parsing with Predictive Feature Learning—0
Visual Traffic Knowledge Graph Generation from Scene Images—0
VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild—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