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 926–950 of 1723 papers

TitleStatusHype
Segmentation-guided Domain Adaptation for Efficient Depth Completion—0
Novel 3D Scene Understanding Applications From Recurrence in a Single Image—0
SQA3D: Situated Question Answering in 3D ScenesCode1
EarthNets: Empowering AI in Earth Observation—0
Uncertainty-aware LiDAR Panoptic SegmentationCode0
Flow-based GAN for 3D Point Cloud Generation from a Single ImageCode0
Feature-Realistic Neural Fusion for Real-Time, Open Set Scene Understanding—0
Image Masking for Robust Self-Supervised Monocular Depth EstimationCode1
FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier ConvolutionsCode1
Uncertainty-Driven Active Vision for Implicit Scene ReconstructionCode1
GaIA: Graphical Information Gain based Attention Network for Weakly Supervised Point Cloud Semantic SegmentationCode0
A Survey on Knowledge Graph-based Methods for Automated Driving—0
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents—0
Stochastic Future Prediction in Real World Driving Scenarios—0
Dynamic Graph Message Passing Networks for Visual RecognitionCode1
A Review on Visual-SLAM: Advancements from Geometric Modelling to Learning-based Semantic Scene Understanding—0
Segmenting Known Objects and Unseen Unknowns without Prior KnowledgeCode1
Leveraging Large (Visual) Language Models for Robot 3D Scene UnderstandingCode1
MassMIND: Massachusetts Maritime INfrared DatasetCode1
Sequential Cross Attention Based Multi-task LearningCode0
SemSegDepth: A Combined Model for Semantic Segmentation and Depth CompletionCode1
Neuromorphic Visual Scene Understanding with Resonator Networks—0
Learning in Audio-visual Context: A Review, Analysis, and New Perspective—0
Safety Assessment for Autonomous Systems' Perception Capabilities—0
Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point SupervisionCode0
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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