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 1026–1050 of 1723 papers

TitleStatusHype
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