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

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Showing 1071–1080 of 1723 papers

TitleStatusHype
Zero-Shot Semantic Segmentation via Spatial and Multi-Scale Aware Visual Class Embedding—0
DiffSDFSim: Differentiable Rigid-Body Dynamics With Implicit Shapes—0
Instance-wise Occlusion and Depth Orders in Natural ScenesCode1
PAPooling: Graph-based Position Adaptive Aggregation of Local Geometry in Point Clouds—0
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation—0
Joint stereo 3D object detection and implicit surface reconstructionCode0
Cerberus Transformer: Joint Semantic, Affordance and Attribute ParsingCode1
Panoptic Segmentation Meets Remote Sensing—0
Talk-to-Resolve: Combining scene understanding and spatial dialogue to resolve granular task ambiguity for a collocated robot—0
Grounded Situation Recognition with TransformersCode1
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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