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 651–700 of 1723 papers

TitleStatusHype
Prospective Role of Foundation Models in Advancing Autonomous Vehicles—0
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object DetectionCode1
IGFNet: Illumination-Guided Fusion Network for Semantic Scene Understanding using RGB-Thermal ImagesCode0
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAMCode4
Repurposing Diffusion-Based Image Generators for Monocular Depth EstimationCode4
A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors—0
Segment Any 3D Gaussians—0
Generalized Robot 3D Vision-Language Model with Fast Rendering and Pre-Training Vision-Language AlignmentCode3
Gaussian Grouping: Segment and Edit Anything in 3D ScenesCode2
Language Embedded 3D Gaussians for Open-Vocabulary Scene UnderstandingCode1
SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Scene SegmentationCode1
HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos—0
Scene Summarization: Clustering Scene Videos into Spatially Diverse Frames—0
Panoptic Video Scene Graph GenerationCode1
REACT: Recognize Every Action Everywhere All At Once—0
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding—0
Multi-task Planar Reconstruction with Feature Warping GuidanceCode0
GPT-4V Takes the Wheel: Promises and Challenges for Pedestrian Behavior Prediction—0
Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense KnowledgeCode1
GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding—0
SeaDSC: A video-based unsupervised method for dynamic scene change detection in unmanned surface vehicles—0
SpectralGPT: Spectral Remote Sensing Foundation ModelCode2
Two Stream Scene Understanding on Graph Embedding—0
Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal ModelsCode3
On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous DrivingCode2
TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene UnderstandingCode1
NeuSyRE: Neuro-Symbolic Visual Understanding and Reasoning Framework based on Scene Graph EnrichmentCode1
Continual Learning of Unsupervised Monocular Depth from VideosCode0
Leveraging Large-Scale Pretrained Vision Foundation Models for Label-Efficient 3D Point Cloud Segmentation—0
Single-view 3D Scene Reconstruction with High-fidelity Shape and Texture—0
TPSeNCE: Towards Artifact-Free Realistic Rain Generation for Deraining and Object Detection in RainCode1
Recent Advances in Multi-modal 3D Scene Understanding: A Comprehensive Survey and Evaluation—0
P2AT: Pyramid Pooling Axial Transformer for Real-time Semantic SegmentationCode0
Panoptic Out-of-Distribution Segmentation—0
S4C: Self-Supervised Semantic Scene Completion with Neural Fields—0
DualMLP: a two-stream fusion model for 3D point cloud classificationCode0
Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models—0
TextPSG: Panoptic Scene Graph Generation from Textual Descriptions—0
Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous DrivingCode1
TransRadar: Adaptive-Directional Transformer for Real-Time Multi-View Radar Semantic SegmentationCode1
Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception—0
Adaptive Visual Scene Understanding: Incremental Scene Graph GenerationCode0
Logical Bias Learning for Object Relation Prediction—0
SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstruction—0
Multimodal Dataset for Localization, Mapping and Crop Monitoring in Citrus Tree FarmsCode1
Language-EXtended Indoor SLAM (LEXIS): A Versatile System for Real-time Visual Scene Understanding—0
PanopticNDT: Efficient and Robust Panoptic MappingCode1
SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset—0
LLMR: Real-time Prompting of Interactive Worlds using Large Language Models—0
Survey of Action Recognition, Spotting and Spatio-Temporal Localization in Soccer -- Current Trends and Research Perspectives—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