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 601–610 of 1723 papers

TitleStatusHype
Towards Precise 3D Human Pose Estimation with Multi-Perspective Spatial-Temporal Relational TransformersCode1
Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems—0
AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents—0
UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature RepresentationCode1
S^3M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving—0
Pixel-Wise Recognition for Holistic Surgical Scene UnderstandingCode2
BPDO:Boundary Points Dynamic Optimization for Arbitrary Shape Scene Text Detection—0
ICGNet: A Unified Approach for Instance-Centric GraspingCode0
SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding—0
GARField: Group Anything with Radiance FieldsCode3
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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