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 1651–1700 of 1723 papers

TitleStatusHype
Holistic 3D Scene Understanding From a Single Geo-Tagged Image—0
Fabric Surface Characterization: Assessment of Deep Learning-based Texture Representations Using a Challenging Dataset—0
Holistic++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense—0
Extracting Zero-shot Common Sense from Large Language Models for Robot 3D Scene Understanding—0
Holistic Understanding of 3D Scenes as Universal Scene Description—0
HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving—0
HSPACE: Synthetic Parametric Humans Animated in Complex Environments—0
HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting—0
Human Action Recognition in Still Images Using ConViT—0
Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection—0
Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding—0
HUNTER: Unsupervised Human-centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes—0
HUSH: Holistic Panoramic 3D Scene Understanding using Spherical Harmonics—0
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface—0
Hybrid Optimized Deep Convolution Neural Network based Learning Model for Object Detection—0
Hybrid Primal Sketch: Combining Analogy, Qualitative Representations, and Computer Vision for Scene Understanding—0
HyKo: A Spectral Dataset for Scene Understanding—0
Exploring Deep 3D Spatial Encodings for Large-Scale 3D Scene Understanding—0
Towards urban scenes understanding through polarization cues—0
Explore and Tell: Embodied Visual Captioning in 3D Environments—0
A Kinematic Bottleneck Approach For Pose Regression of Flexible Surgical Instruments directly from Images—0
Exploiting the ConvLSTM: Human Action Recognition using Raw Depth Video-Based Recurrent Neural Networks—0
A Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling—0
Identifying First-person Camera Wearers in Third-person Videos—0
Exploiting Temporal Coherence for Multi-modal Video Categorization—0
A Graph Completion Method that Jointly Predicts Geometry and Topology Enables Effective Molecule Assembly—0
Agent3D-Zero: An Agent for Zero-shot 3D Understanding—0
IM2CAD—0
A Flexible Framework for Virtual Omnidirectional Vision to Improve Operator Situation Awareness—0
Image Captioning with Integrated Bottom-Up and Multi-level Residual Top-Down Attention for Game Scene Understanding—0
Image-Graph-Image Translation via Auto-Encoding—0
Training-Free Model Merging for Multi-target Domain Adaptation—0
Exploiting High Level Scene Cues in Stereo Reconstruction—0
Image Parsing with Stochastic Scene Grammar—0
Explicit3D: Graph Network with Spatial Inference for Single Image 3D Object Detection—0
Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems—0
Image-to-Height Domain Translation for Synthetic Aperture Sonar—0
IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement—0
Affordance Learning In Direct Perception for Autonomous Driving—0
Improving 6D Object Pose Estimation of metallic Household and Industry Objects—0
Improving Building Segmentation for Off-Nadir Satellite Imagery—0
Improving Human-Object Interaction Detection via Phrase Learning and Label Composition—0
A Dynamic Feature Interaction Framework for Multi-task Visual Perception—0
Improving Online Lane Graph Extraction by Object-Lane Clustering—0
Explainable Scene Understanding with Qualitative Representations and Graph Neural Networks—0
InCoRo: In-Context Learning for Robotics Control with Feedback Loops—0
Incorporating Explanations into Human-Machine Interfaces for Trust and Situation Awareness in Autonomous Vehicles—0
TransforMerger: Transformer-based Voice-Gesture Fusion for Robust Human-Robot Communication—0
Incorporating Scene Context and Object Layout into Appearance Modeling—0
Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs—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