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 1571–1580 of 1723 papers

TitleStatusHype
Gaga: Group Any Gaussians via 3D-aware Memory Bank—0
GAGS: Granularity-Aware Feature Distillation for Language Gaussian Splatting—0
A model of saliency-based visual attention for rapid scene analysis—0
Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning—0
FroDO: From Detections to 3D Objects—0
GameVLM: A Decision-making Framework for Robotic Task Planning Based on Visual Language Models and Zero-sum Games—0
GANspection—0
Friction from Reflectance: Deep Reflectance Codes for Predicting Physical Surface Properties from One-Shot In-Field Reflectance—0
AmodalSynthDrive: A Synthetic Amodal Perception Dataset for Autonomous Driving—0
A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds—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