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 941–950 of 1723 papers

TitleStatusHype
FunnyNet-W: Multimodal Learning of Funny Moments in Videos in the WildCode0
FMGS: Foundation Model Embedded 3D Gaussian Splatting for Holistic 3D Scene Understanding—0
Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models—0
Unsupervised 3D Structure Inference from Category-Specific Image Collections—0
When Visual Grounding Meets Gigapixel-level Large-scale Scenes: Benchmark and Approach—0
SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes—0
PanoRecon: Real-Time Panoptic 3D Reconstruction from Monocular VideoCode0
Bilateral Adaptation for Human-Object Interaction Detection with Occlusion-Robustness—0
Towards CLIP-driven Language-free 3D Visual Grounding via 2D-3D Relational Enhancement and ConsistencyCode0
Omni-Q: Omni-Directional Scene Understanding for Unsupervised Visual Grounding—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