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 751–800 of 1723 papers

TitleStatusHype
Deep Learned Full-3D Object Completion from Single View—0
Improving Online Lane Graph Extraction by Object-Lane Clustering—0
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds—0
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation—0
A Weakly-Supervised Depth Estimation Network Using Attention Mechanism—0
Improving Human-Object Interaction Detection via Phrase Learning and Label Composition—0
LangSurf: Language-Embedded Surface Gaussians for 3D Scene Understanding—0
Improving Building Segmentation for Off-Nadir Satellite Imagery—0
Improving 6D Object Pose Estimation of metallic Household and Industry Objects—0
Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation—0
A Multiple-View Geometric Model for Specularity Prediction on General Curved Surfaces—0
Memory-Augmented Multimodal LLMs for Surgical VQA via Self-Contained Inquiry—0
Language-EXtended Indoor SLAM (LEXIS): A Versatile System for Real-time Visual Scene Understanding—0
LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving—0
Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Experiments, and Challenges—0
Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm—0
IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement—0
Image-to-Height Domain Translation for Synthetic Aperture Sonar—0
LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning—0
Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment—0
Deep cross-domain building extraction for selective depth estimation from oblique aerial imagery—0
Learning 3D Robotics Perception using Inductive Priors—0
Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems—0
Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions—0
A Comprehensive Review of Modern Object Segmentation Approaches—0
Image Parsing with Stochastic Scene Grammar—0
Learning-based 3D Reconstruction in Autonomous Driving: A Comprehensive Survey—0
Learning-based Relational Object Matching Across Views—0
Learning Category- and Instance-Aware Pixel Embedding for Fast Panoptic Segmentation—0
Learning Densities in Feature Space for Reliable Segmentation of Indoor Scenes—0
Learning Depth from Single Images with Deep Neural Network Embedding Focal Length—0
Learning Direct Optimization for Scene Understanding—0
Deep Contextual Attention for Human-Object Interaction Detection—0
DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding—0
Image-Graph-Image Translation via Auto-Encoding—0
Learning Geometric-Aware Properties in 2D Representation Using Lightweight CAD Models, or Zero Real 3D Pairs—0
A model of saliency-based visual attention for rapid scene analysis—0
MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation—0
Learning in Audio-visual Context: A Review, Analysis, and New Perspective—0
DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data—0
Masked Point-Entity Contrast for Open-Vocabulary 3D Scene Understanding—0
Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation—0
Image Captioning with Integrated Bottom-Up and Multi-level Residual Top-Down Attention for Game Scene Understanding—0
Deep Bayesian Image Set Classification: A Defence Approach against Adversarial Attacks—0
Mapping High-level Semantic Regions in Indoor Environments without Object Recognition—0
IM2CAD—0
Audio-Visual Collaborative Representation Learning for Dynamic Saliency Prediction—0
3D Question Answering for City Scene Understanding—0
A Vision-Language Framework for Multispectral Scene Representation Using Language-Grounded Features—0
MapVision: CVPR 2024 Autonomous Grand Challenge Mapless Driving Tech Report—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