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 1411–1420 of 1723 papers

TitleStatusHype
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning—0
RAUM-VO: Rotational Adjusted Unsupervised Monocular Visual Odometry—0
RayFronts: Open-Set Semantic Ray Frontiers for Online Scene Understanding and Exploration—0
RAZER: Robust Accelerated Zero-Shot 3D Open-Vocabulary Panoptic Reconstruction with Spatio-Temporal Aggregation—0
REACT: Recognize Every Action Everywhere All At Once—0
RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation—0
Real time backbone for semantic segmentation—0
Real-Time Semantic Stereo Matching—0
Reasoning About Physical Interactions with Object-Centric Models—0
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning—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