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 1141–1150 of 1723 papers

TitleStatusHype
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents—0
Stochastic Future Prediction in Real World Driving Scenarios—0
A Review on Visual-SLAM: Advancements from Geometric Modelling to Learning-based Semantic Scene Understanding—0
Sequential Cross Attention Based Multi-task LearningCode0
Neuromorphic Visual Scene Understanding with Resonator Networks—0
Learning in Audio-visual Context: A Review, Analysis, and New Perspective—0
Safety Assessment for Autonomous Systems' Perception Capabilities—0
Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point SupervisionCode0
AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy—0
CompNVS: Novel View Synthesis with Scene Completion—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