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 1001–1050 of 1723 papers

TitleStatusHype
From Monocular Vision to Autonomous Action: Guiding Tumor Resection via 3D Reconstruction—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
Fusion Based Holistic Road Scene Understanding—0
FusionSAM: Latent Space driven Segment Anything Model for Multimodal Fusion and Segmentation—0
Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences—0
Gaga: Group Any Gaussians via 3D-aware Memory Bank—0
GAGS: Granularity-Aware Feature Distillation for Language Gaussian Splatting—0
Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning—0
GameVLM: A Decision-making Framework for Robotic Task Planning Based on Visual Language Models and Zero-sum Games—0
GANspection—0
GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation—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
General-Purpose Aerial Intelligent Agents Empowered by Large Language Models—0
Generating Robot Constitutions & Benchmarks for Semantic Safety—0
Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis—0
Generative Video Transformer: Can Objects be the Words?—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
Glass Segmentation Using Intensity and Spectral Polarization Cues—0
Global Context Aware Convolutions for 3D Point Cloud Understanding—0
GOI: Find 3D Gaussians of Interest with an Optimizable Open-vocabulary Semantic-space Hyperplane—0
Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models—0
GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding—0
GPT-4V Explorations: Mining Autonomous Driving—0
GPT-4V Takes the Wheel: Promises and Challenges for Pedestrian Behavior Prediction—0
GP-VLS: A general-purpose vision language model for surgery—0
Graph-Based Multi-Modal Sensor Fusion for Autonomous Driving—0
Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection—0
Graph-Grounded LLMs: Leveraging Graphical Function Calling to Minimize LLM Hallucinations—0
Grounded Objects and Interactions for Video Captioning—0
GroundingFace: Fine-grained Face Understanding via Pixel Grounding Multimodal Large Language Model—0
GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding—0
HAECcity: Open-Vocabulary Scene Understanding of City-Scale Point Clouds with Superpoint Graph Clustering—0
Hallucinated Humans as the Hidden Context for Labeling 3D Scenes—0
HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning—0
Handling Geometric Domain Shifts in Semantic Segmentation of Surgical RGB and Hyperspectral Images—0
HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos—0
Transavs: End-To-End Audio-Visual Segmentation With Transformer—0
HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds From Heterogeneous LiDAR Sensors—0
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine—0
HGS-Mapping: Online Dense Mapping Using Hybrid Gaussian Representation in Urban Scenes—0
Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions—0
Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction—0
High-Accuracy Facial Depth Models derived from 3D Synthetic Data—0
Highway Driving Dataset for Semantic Video Segmentation—0
HIS-GPT: Towards 3D Human-In-Scene Multimodal Understanding—0
HOIverse: A Synthetic Scene Graph Dataset With Human Object Interactions—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