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 661–670 of 1723 papers

TitleStatusHype
SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Scene SegmentationCode1
HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos—0
Scene Summarization: Clustering Scene Videos into Spatially Diverse Frames—0
Panoptic Video Scene Graph GenerationCode1
REACT: Recognize Every Action Everywhere All At Once—0
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding—0
Multi-task Planar Reconstruction with Feature Warping GuidanceCode0
GPT-4V Takes the Wheel: Promises and Challenges for Pedestrian Behavior Prediction—0
Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense KnowledgeCode1
GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding—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