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 131–140 of 199 papers

TitleStatusHype
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction—0
Cooperative Semantic Segmentation and Image Restoration in Adverse Environmental Conditions—0
Segmenting Ships in Satellite Imagery With Squeeze and Excitation U-Net—0
Segmenting Sky Pixels in Images—0
Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models—0
Semantic Segmentation on VSPW Dataset through Contrastive Loss and Multi-dataset Training Approach—0
Semi-supervised Video Semantic Segmentation Using Unreliable Pseudo Labels for PVUW2024—0
Single-View 3D Scene Parsing by Attributed Grammar—0
Soft Correspondences in Multimodal Scene Parsing—0
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images—0
Show:102550
← PrevPage 14 of 20Next →
All datasetsPGDP5KCityscapes test

Benchmark Results

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