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 576–600 of 1723 papers

TitleStatusHype
Deep Video Deblurring for Hand-Held CamerasCode0
Deep Video DeblurringCode0
Deep Surface Normal Estimation with Hierarchical RGB-D FusionCode0
A Critical Assessment of Visual Sound Source Localization Models Including Negative AudioCode0
Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance FieldsCode0
Object Attribute Matters in Visual Question AnsweringCode0
Object-aware Sound Source Localization via Audio-Visual Scene UnderstandingCode0
Benchmarking Feature Upsampling Methods for Vision Foundation Models using Interactive SegmentationCode0
Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a SupercomputerCode0
Non-central panorama indoor datasetCode0
NextStop: An Improved Tracker For Panoptic LIDAR Segmentation DataCode0
Deeply Supervised Multimodal Attentional Translation Embeddings for Visual Relationship DetectionCode0
Neural Radiance Field CodebooksCode0
Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance VotingCode0
Neural RGB->D Sensing: Depth and Uncertainty from a Video CameraCode0
Deep Learning based Switching Filter for Impulsive Noise Removal in Color ImagesCode0
BACS: Background Aware Continual Semantic SegmentationCode0
Deep Learning--Based Scene Simplification for Bionic VisionCode0
DeepIPCv2: LiDAR-powered Robust Environmental Perception and Navigational Control for Autonomous VehicleCode0
AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene UnderstandingCode0
Multi-Resolution Multi-Modal Sensor Fusion For Remote Sensing Data With Label UncertaintyCode0
Multi-task Geometric Estimation of Depth and Surface Normal from Monocular 360° ImagesCode0
Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks?Code0
AVQACL: A Novel Benchmark for Audio-Visual Question Answering Continual LearningCode0
Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth EstimationCode0
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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