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 1521–1530 of 1723 papers

TitleStatusHype
Soft-PHOC Descriptor for End-to-End Word Spotting in Egocentric Scene ImagesCode0
Multiple-gaze geometry: Inferring novel 3D locations from gazes observed in monocular video—0
Localization Guided Learning for Pedestrian Attribute Recognition—0
COFGA: Classification Of Fine-Grained Features In Aerial Images—0
Single Shot Scene Text RetrievalCode0
NavigationNet: A Large-scale Interactive Indoor Navigation Dataset—0
Second-order Democratic Aggregation—0
Deep Learned Full-3D Object Completion from Single View—0
Learning Monocular Depth by Distilling Cross-domain Stereo NetworksCode0
Holistic 3D Scene Parsing and Reconstruction from a Single RGB ImageCode0
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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