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 1051–1075 of 1723 papers

TitleStatusHype
Point Cloud Pre-Training With Natural 3D StructuresCode1
MSeg: A Composite Dataset for Multi-domain Semantic SegmentationCode1
Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth EstimationCode1
HSPACE: Synthetic Parametric Humans Animated in Complex Environments—0
Comprehensive Visual Question Answering on Point Clouds through Compositional Scene ManipulationCode1
ScanQA: 3D Question Answering for Spatial Scene UnderstandingCode1
Distillation of Human-Object Interaction Contexts for Action Recognition—0
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic SegmentationCode1
Improving Human-Object Interaction Detection via Phrase Learning and Label Composition—0
Image-to-Height Domain Translation for Synthetic Aperture Sonar—0
3D Scene Understanding at Urban Intersection using Stereo Vision and Digital Map—0
Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms—0
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding—0
PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic SegmentationCode1
Behind the Curtain: Learning Occluded Shapes for 3D Object DetectionCode1
Contrastive Instance Association for 4D Panoptic Segmentation using Sequences of 3D LiDAR ScansCode0
Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding—0
REMIPS: Physically Consistent 3D Reconstruction of Multiple Interacting People under Weak Supervision—0
Joint Modeling of Visual Objects and Relations for Scene Graph Generation—0
AirObject: A Temporally Evolving Graph Embedding for Object IdentificationCode1
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
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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