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

Showing 191200 of 1723 papers

TitleStatusHype
WHU-Synthetic: A Synthetic Perception Dataset for 3-D Multitask Model ResearchCode1
Semantically-aware Neural Radiance Fields for Visual Scene Understanding: A Comprehensive ReviewCode1
Towards Precise 3D Human Pose Estimation with Multi-Perspective Spatial-Temporal Relational TransformersCode1
UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature RepresentationCode1
RSUD20K: A Dataset for Road Scene Understanding In Autonomous DrivingCode1
3DMIT: 3D Multi-modal Instruction Tuning for Scene UnderstandingCode1
DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object DetectionCode1
WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural EnvironmentsCode1
Pola4All: survey of polarimetric applications and an open-source toolkit to analyze polarizationCode1
Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask GuidanceCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.44Unverified
2Team VGAI (TCS Research)OMQ0.37Unverified
3Demo_semantic_SLAMOMQ0.11Unverified
#ModelMetricClaimedVerifiedStatus
1CPN(ResNet-101)Mean IoU46.3Unverified
#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.35Unverified