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 141–150 of 199 papers

TitleStatusHype
Learning to Exploit Stability for 3D Scene Parsing—0
A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization—0
Scene Parsing via Dense Recurrent Neural Networks with Attentional Selection—0
Weakly Supervised Scene Parsing with Point-based Distance Metric Learning—0
Synscapes: A Photorealistic Synthetic Dataset for Street Scene ParsingCode0
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction—0
PSANet: Point-wise Spatial Attention Network for Scene ParsingCode0
Holistic 3D Scene Parsing and Reconstruction from a Single RGB ImageCode0
Dermoscopic Image Analysis for ISIC Challenge 2018—0
Location Augmentation for CNN—0
Show:102550
← PrevPage 15 of 20Next →
All datasetsPGDP5KCityscapes test

Benchmark Results

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