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 376–400 of 1723 papers

TitleStatusHype
Open Scene Understanding: Grounded Situation Recognition Meets Segment Anything for Helping People with Visual ImpairmentsCode1
FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud SegmentationCode1
Few-Shot Object Detection and Viewpoint Estimation for Objects in the WildCode1
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene UnderstandingCode1
FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier ConvolutionsCode1
P3Depth: Monocular Depth Estimation with a Piecewise Planarity PriorCode1
PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic SegmentationCode1
Expressive Scene Graph Generation Using Commonsense Knowledge Infusion for Visual Understanding and ReasoningCode1
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene ContextsCode1
Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous DrivingCode1
Explainable Object-induced Action Decision for Autonomous VehiclesCode1
Bidirectional Projection Network for Cross Dimension Scene UnderstandingCode1
PC-BEV: An Efficient Polar-Cartesian BEV Fusion Framework for LiDAR Semantic SegmentationCode1
EPMF: Efficient Perception-aware Multi-sensor Fusion for 3D Semantic SegmentationCode1
Photon-Starved Scene Inference using Single Photon CamerasCode1
DIP: Unsupervised Dense In-Context Post-training of Visual RepresentationsCode1
Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and BeyondCode1
Point Cloud Pre-Training With Natural 3D StructuresCode1
PointContrast: Unsupervised Pre-training for 3D Point Cloud UnderstandingCode1
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph AnalysisCode1
Digging Into Self-Supervised Monocular Depth EstimationCode1
A2-FPN for Semantic Segmentation of Fine-Resolution Remotely Sensed ImagesCode1
Pola4All: survey of polarimetric applications and an open-source toolkit to analyze polarizationCode1
From General to Specific: Informative Scene Graph Generation via Balance AdjustmentCode1
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal EstimationCode1
Show:102550
← PrevPage 16 of 69Next →
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