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 1411–1420 of 1723 papers

TitleStatusHype
SLGaussian: Fast Language Gaussian Splatting in Sparse Views—0
Weakly Supervised 3D Instance Segmentation without Instance-level Annotations—0
Small Drone Field Experiment: Data Collection & Processing—0
Small-Variance Nonparametric Clustering on the Hypersphere—0
Smart Infrastructure: A Research Junction—0
Audiovisual Highlight Detection in Videos—0
SNeL: A Structured Neuro-Symbolic Language for Entity-Based Multimodal Scene Understanding—0
Audio-visual Event Localization on Portrait Mode Short Videos—0
Social Scene Understanding: End-to-End Multi-Person Action Localization and Collective Activity Recognition—0
3D Gated Recurrent Fusion for Semantic Scene Completion—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