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 981–990 of 1723 papers

TitleStatusHype
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation—0
Depth Not Needed - An Evaluation of RGB-D Feature Encodings for Off-Road Scene Understanding by Convolutional Neural Network—0
Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation—0
Not Using the Car to See the Sidewalk -- Quantifying and Controlling the Effects of Context in Classification and Segmentation—0
Novel 3D Scene Understanding Applications From Recurrence in a Single Image—0
Novel-view Synthesis and Pose Estimation for Hand-Object Interaction from Sparse Views—0
NuGrounding: A Multi-View 3D Visual Grounding Framework in Autonomous Driving—0
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation—0
Depth Estimation using Weighted-loss and Transfer Learning—0
O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation—0
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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