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 1681–1690 of 1723 papers

TitleStatusHype
Image-Graph-Image Translation via Auto-Encoding—0
Training-Free Model Merging for Multi-target Domain Adaptation—0
Exploiting High Level Scene Cues in Stereo Reconstruction—0
Image Parsing with Stochastic Scene Grammar—0
Explicit3D: Graph Network with Spatial Inference for Single Image 3D Object Detection—0
Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems—0
Image-to-Height Domain Translation for Synthetic Aperture Sonar—0
IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement—0
Affordance Learning In Direct Perception for Autonomous Driving—0
Improving 6D Object Pose Estimation of metallic Household and Industry Objects—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