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

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Showing 1371–1380 of 1723 papers

TitleStatusHype
Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions—0
MNEW: Multi-domain Neighborhood Embedding and Weighting for Sparse Point Clouds Segmentation—0
ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings—0
One-Shot GAN Generated Fake Face Detection—0
High-Accuracy Facial Depth Models derived from 3D Synthetic Data—0
Adversarial Attacks on Monocular Depth Estimation—0
A Robotic 3D Perception System for Operating Room Environment Awareness—0
Neural Mesh Refiner for 6-DoF Pose Estimation—0
Fabric Surface Characterization: Assessment of Deep Learning-based Texture Representations Using a Challenging Dataset—0
Probabilistic Future Prediction for Video Scene Understanding—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