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 1351–1375 of 1723 papers

TitleStatusHype
Visual Lexicon: Rich Image Features in Language Space—0
Visual Semantic Parsing: From Images to Abstract Meaning Representation—0
Visual-Semantic Scene Understanding by Sharing Labels in a Context Network—0
Visual Traffic Knowledge Graph Generation from Scene Images—0
Visual Vibrometry: Estimating MaterialProperties from Small Motions in Video—0
Visual Vibrometry: Estimating Material Properties From Small Motion in Video—0
Visual Vibrometry: Estimating Material Properties from Small Motions in Video—0
Visuomotor Understanding for Representation Learning of Driving Scenes—0
VLM-E2E: Enhancing End-to-End Autonomous Driving with Multimodal Driver Attention Fusion—0
VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry—0
VLP: Vision Language Planning for Autonomous Driving—0
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding—0
VoteSplat: Hough Voting Gaussian Splatting for 3D Scene Understanding—0
vS-Graphs: Integrating Visual SLAM and Situational Graphs through Multi-level Scene Understanding—0
Waymo Open Dataset: Panoramic Video Panoptic Segmentation—0
Weakly Supervised 3D Instance Segmentation without Instance-level Annotations—0
Weakly-Supervised 3D Visual Grounding based on Visual Linguistic Alignment—0
Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning—0
Weakly Supervised Learning of Affordances—0
Weakly Supervised Point Clouds Transformer for 3D Object Detection—0
What Can I Do Around Here? Deep Functional Scene Understanding for Cognitive Robots—0
What Demands Attention in Urban Street Scenes? From Scene Understanding towards Road Safety: A Survey of Vision-driven Datasets and Studies—0
What do We Learn by Semantic Scene Understanding for Remote Sensing imagery in CNN framework?—0
When Neural Networks Using Different Sensors Create Similar Features—0
When Visual Grounding Meets Gigapixel-level Large-scale Scenes: Benchmark and Approach—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