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 126–150 of 1723 papers

TitleStatusHype
Overlap-Aware Feature Learning for Robust Unsupervised Domain Adaptation for 3D Semantic Segmentation—0
CoMatcher: Multi-View Collaborative Feature Matching—0
TransforMerger: Transformer-based Voice-Gesture Fusion for Robust Human-Robot Communication—0
Ross3D: Reconstructive Visual Instruction Tuning with 3D-Awareness—0
Scene-Centric Unsupervised Panoptic SegmentationCode2
WikiVideo: Article Generation from Multiple VideosCode1
Zero-Shot 4D Lidar Panoptic Segmentation—0
Context-Aware Human Behavior Prediction Using Multimodal Large Language Models: Challenges and Insights—0
PhysPose: Refining 6D Object Poses with Physical Constraints—0
Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation ModelCode1
OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action ModelCode4
Empowering Large Language Models with 3D Situation Awareness—0
Evaluating Compositional Scene Understanding in Multimodal Generative ModelsCode0
Can DeepSeek Reason Like a Surgeon? An Empirical Evaluation for Vision-Language Understanding in Robotic-Assisted Surgery—0
Open-Vocabulary Semantic Segmentation with Uncertainty Alignment for Robotic Scene Understanding in Indoor Building Environments—0
Mitigating Trade-off: Stream and Query-guided Aggregation for Efficient and Effective 3D Occupancy PredictionCode1
Evaluating Multimodal Language Models as Visual Assistants for Visually Impaired Users—0
A Dataset for Semantic Segmentation in the Presence of Unknowns—0
Endo-TTAP: Robust Endoscopic Tissue Tracking via Multi-Facet Guided Attention and Hybrid Flow-point Supervision—0
Next-Best-Trajectory Planning of Robot Manipulators for Effective Observation and Exploration—0
NuGrounding: A Multi-View 3D Visual Grounding Framework in Autonomous Driving—0
Visual Jenga: Discovering Object Dependencies via Counterfactual Inpainting—0
Towards Generating Realistic 3D Semantic Training Data for Autonomous DrivingCode2
DINeMo: Learning Neural Mesh Models with no 3D Annotations—0
COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian SplittingCode2
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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