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 1021–1030 of 1723 papers

TitleStatusHype
One-Shot GAN Generated Fake Face Detection—0
Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding—0
Deep Point Cloud Simplification for High-quality Surface Reconstruction—0
Deep Optics for Monocular Depth Estimation and 3D Object Detection—0
Deeply Learned Attributes for Crowded Scene Understanding—0
Online Self-supervised Scene Segmentation for Micro Aerial Vehicles—0
On Steering Multi-Annotations per Sample for Multi-Task Learning—0
On Support Relations and Semantic Scene Graphs—0
On Support Relations Inference and Scene Hierarchy Graph Construction from Point Cloud in Clustered Environments—0
On the Importance of Visual Context for Data Augmentation in Scene Understanding—0
Show:102550
← PrevPage 103 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