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 1031–1040 of 1723 papers

TitleStatusHype
PSDR-Room: Single Photo to Scene using Differentiable Rendering—0
Object Recognition System on a Tactile Device for Visually Impaired—0
Artifacts Mapping: Multi-Modal Semantic Mapping for Object Detection and 3D Localization—0
Generalizing Surgical Instruments Segmentation to Unseen Domains with One-to-Many SynthesisCode0
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties—0
Style-transfer based Speech and Audio-visual Scene Understanding for Robot Action Sequence Acquisition from Videos—0
Semantic-aware Transmission for Robust Point Cloud Classification—0
Towards Unseen Triples: Effective Text-Image-joint Learning for Scene Graph Generation—0
CorNav: Autonomous Agent with Self-Corrected Planning for Zero-Shot Vision-and-Language Navigation—0
DORSal: Diffusion for Object-centric Representations of Scenes et al—0
Show:102550
← PrevPage 104 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