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 861–870 of 1723 papers

TitleStatusHype
Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis—0
Transformers for Image-Goal Navigation—0
GameVLM: A Decision-making Framework for Robotic Task Planning Based on Visual Language Models and Zero-sum Games—0
TS40K: a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission System—0
Anticipating Object State Changes in Long Procedural Videos—0
A Preprocessing and Postprocessing Voxel-based Method for LiDAR Semantic Segmentation Improvement in Long Distance—0
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation—0
3D Shape Augmentation with Content-Aware Shape Resizing—0
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving—0
Q-GroundCAM: Quantifying Grounding in Vision Language Models via GradCAM—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