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 1551–1600 of 1723 papers

TitleStatusHype
Towards Escaping from Language Bias and OCR Error: Semantics-Centered Text Visual Question Answering—0
Towards General Purpose Geometry-Preserving Single-View Depth Estimation—0
An Analysis of State-of-the-Art Models for Situated Interactive MultiModal Conversations (SIMMC)—0
Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs—0
When Neural Networks Using Different Sensors Create Similar Features—0
Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models—0
Towards holistic scene understanding: Semantic segmentation and beyond—0
Analogical Image Translation for Fog Generation—0
A Multi-purpose Realistic Haze Benchmark with Quantifiable Haze Levels and Ground Truth—0
A Multiple-View Geometric Model for Specularity Prediction on General Curved Surfaces—0
From Monocular Vision to Autonomous Action: Guiding Tumor Resection via 3D Reconstruction—0
Towards Localizing Structural Elements: Merging Geometrical Detection with Semantic Verification in RGB-D Data—0
From Real to Synthetic and Back: Synthesizing Training Data for Multi-Person Scene Understanding—0
Fully Convolutional Networks for Dense Semantic Labelling of High-Resolution Aerial Imagery—0
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents—0
Fusion Based Holistic Road Scene Understanding—0
FusionSAM: Latent Space driven Segment Anything Model for Multimodal Fusion and Segmentation—0
From Flight to Insight: Semantic 3D Reconstruction for Aerial Inspection via Gaussian Splatting and Language-Guided Segmentation—0
Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences—0
FroDO: From Detections to 3D Objects—0
Gaga: Group Any Gaussians via 3D-aware Memory Bank—0
GAGS: Granularity-Aware Feature Distillation for Language Gaussian Splatting—0
A model of saliency-based visual attention for rapid scene analysis—0
Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning—0
FroDO: From Detections to 3D Objects—0
GameVLM: A Decision-making Framework for Robotic Task Planning Based on Visual Language Models and Zero-sum Games—0
GANspection—0
Friction from Reflectance: Deep Reflectance Codes for Predicting Physical Surface Properties from One-Shot In-Field Reflectance—0
AmodalSynthDrive: A Synthetic Amodal Perception Dataset for Autonomous Driving—0
A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds—0
GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation—0
FreeQ-Graph: Free-form Querying with Semantic Consistent Scene Graph for 3D Scene Understanding—0
Framework for 2D Ad placements in LinearTV—0
GaussianPU: A Hybrid 2D-3D Upsampling Framework for Enhancing Color Point Clouds via 3D Gaussian Splatting—0
Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data—0
Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization—0
FMLGS: Fast Multilevel Language Embedded Gaussians for Part-level Interactive Agents—0
Towards Robust Algorithms for Surgical Phase Recognition via Digital Twin-based Scene Representation—0
General-Purpose Aerial Intelligent Agents Empowered by Large Language Models—0
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper—0
Generating Robot Constitutions & Benchmarks for Semantic Safety—0
FMGS: Foundation Model Embedded 3D Gaussian Splatting for Holistic 3D Scene Understanding—0
Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis—0
Generative Video Transformer: Can Objects be the Words?—0
FlowCaps: Optical Flow Estimation with Capsule Networks For Action Recognition—0
Geometric Constrained Non-Line-of-Sight Imaging—0
Geometric Constraints in Deep Learning Frameworks: A Survey—0
GeomGS: LiDAR-Guided Geometry-Aware Gaussian Splatting for Robot Localization—0
Floorplan-SLAM: A Real-Time, High-Accuracy, and Long-Term Multi-Session Point-Plane SLAM for Efficient Floorplan Reconstruction—0
Glass Segmentation Using Intensity and Spectral Polarization Cues—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