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 771–780 of 1723 papers

TitleStatusHype
CorNav: Autonomous Agent with Self-Corrected Planning for Zero-Shot Vision-and-Language Navigation—0
PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic SegmentationCode1
Estimating Generic 3D Room Structures from 2D AnnotationsCode1
DORSal: Diffusion for Object-centric Representations of Scenes et al—0
Neural Projection Mapping Using Reflectance Fields—0
SNeL: A Structured Neuro-Symbolic Language for Entity-Based Multimodal Scene Understanding—0
SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic UnderstandingCode1
InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene UnderstandingCode2
TopoMask: Instance-Mask-Based Formulation for the Road Topology Problem via Transformer-Based Architecture—0
A Dynamic Feature Interaction Framework for Multi-task Visual Perception—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