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 1461–1470 of 1723 papers

TitleStatusHype
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation—0
SAM-Guided Masked Token Prediction for 3D Scene Understanding—0
SAMPLE-HD: Simultaneous Action and Motion Planning Learning Environment—0
Scale-aware Neural Network for Semantic Segmentation of Multi-resolution Remote Sensing Images—0
SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset—0
Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans—0
Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning—0
Scenarios: A New Representation for Complex Scene Understanding—0
Scene-aware Human Pose Generation using Transformer—0
Scene-Aware Prompt for Multi-modal Dialogue Understanding and Generation—0
Show:102550
← PrevPage 147 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