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 1481–1490 of 1723 papers

TitleStatusHype
3D-Aware Instance Segmentation and Tracking in Egocentric Videos—0
Symbolic Graph Inference for Compound Scene Understanding—0
Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation—0
Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare Facilities—0
A Reinforcement Learning Approach to Target Tracking in a Camera Network—0
SynthCam3D: Semantic Understanding With Synthetic Indoor Scenes—0
Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery—0
A Reflectance Based Method For Shadow Detection and Removal—0
Tactical Decision for Multi-UGV Confrontation with a Vision-Language Model-Based Commander—0
Tactile MNIST: Benchmarking Active Tactile Perception—0
Show:102550
← PrevPage 149 of 173Next →
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