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 1461–1470 of 1723 papers

TitleStatusHype
Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning—0
Neural Language of Thought Models—0
A Robust 3D-2D Interactive Tool for Scene Segmentation and Annotation—0
Style-transfer based Speech and Audio-visual Scene Understanding for Robot Action Sequence Acquisition from Videos—0
Submodular Field Grammars: Representation, Inference, and Application to Image Parsing—0
A Robotic 3D Perception System for Operating Room Environment Awareness—0
SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite—0
SUPER: A Novel Lane Detection System—0
ArK: Augmented Reality with Knowledge Interactive Emergent Ability—0
SuperGSeg: Open-Vocabulary 3D Segmentation with Structured Super-Gaussians—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