SOTAVerified

Scene Understanding

Scene understanding involves interpreting the visual information of a scene, including objects, their spatial relationships, and the overall layout. It goes beyond simple object recognition by considering the context and how objects relate to each other and the environment.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 661–670 of 1723 papers

TitleStatusHype
An Enhanced Object Detection Model for Scene Graph Generation—0
Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer—0
Designing DNNs for a trade-off between robustness and processing performance in embedded devices—0
Designing Deep Networks for Surface Normal Estimation—0
An Enhanced Classification Method Based on Adaptive Multi-Scale Fusion for Long-tailed Multispectral Point Clouds—0
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation—0
Language-EXtended Indoor SLAM (LEXIS): A Versatile System for Real-time Visual Scene Understanding—0
Learning-based Relational Object Matching Across Views—0
Learning in Audio-visual Context: A Review, Analysis, and New Perspective—0
Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods—0
Show:102550
← PrevPage 67 of 173Next →
All datasetsSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)ADE20K valSemantic Scene Understanding Challenge (active actuation & ground-truth localisation)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.44—Unverified
2Team VGAI (TCS Research)OMQ0.37—Unverified
3Demo_semantic_SLAMOMQ0.11—Unverified
#ModelMetricClaimedVerifiedStatus
1CPN(ResNet-101)Mean IoU46.3—Unverified
#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.35—Unverified