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 1711–1720 of 1723 papers

TitleStatusHype
A Sentence Is Worth a Thousand Pixels—0
Beyond Point Clouds: Scene Understanding by Reasoning Geometry and Physics—0
Clock-Modeled Ternary Spatial Relations for Visual Scene Analysis—0
Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical World—0
Blending Learning and Inference in Structured Prediction—0
Image Parsing with Stochastic Scene Grammar—0
-MRF: Capturing Spatial and Semantic Structure in the Parameters for Scene Understanding—0
Parsing Natural Scenes and Natural Language with Recursive Neural NetworksCode0
Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models—0
Large Margin Learning of Upstream Scene Understanding Models—0
Show:102550
← PrevPage 172 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