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 1581–1590 of 1723 papers

TitleStatusHype
Reasoning with shapes: profiting cognitive susceptibilities to infer linear mapping transformations between shapes—0
Semantic Foggy Scene Understanding with Synthetic Data—0
3D Pose Regression using Convolutional Neural Networks—0
Deep Scene Text Detection with Connected Component Proposals—0
BlitzNet: A Real-Time Deep Network for Scene UnderstandingCode0
Fast Scene Understanding for Autonomous DrivingCode0
Semantic Augmented Reality Environment with Material-Aware Physical Interactions—0
Dual-Glance Model for Deciphering Social RelationshipsCode0
Scene Graph Generation from Objects, Phrases and Region CaptionsCode0
Relationship Proposal Networks—0
Show:102550
← PrevPage 159 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