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 51–75 of 1723 papers

TitleStatusHype
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene UnderstandingCode2
MTVQA: Benchmarking Multilingual Text-Centric Visual Question AnsweringCode2
Multi-Task Learning as Multi-Objective OptimizationCode2
NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLMCode2
Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D ScenesCode2
Chat-Scene: Bridging 3D Scene and Large Language Models with Object IdentifiersCode2
IRef-VLA: A Benchmark for Interactive Referential Grounding with Imperfect Language in 3D ScenesCode2
OpenESS: Event-based Semantic Scene Understanding with Open VocabulariesCode2
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with TransformersCode2
OpenScene: 3D Scene Understanding with Open VocabulariesCode2
OSMLoc: Single Image-Based Visual Localization in OpenStreetMap with Fused Geometric and Semantic GuidanceCode2
COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian SplittingCode2
HAKE: A Knowledge Engine Foundation for Human Activity UnderstandingCode2
GroupViT: Semantic Segmentation Emerges from Text SupervisionCode2
GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial TasksCode2
Grounded 3D-LLM with Referent TokensCode2
Hier-SLAM: Scaling-up Semantics in SLAM with a Hierarchically Categorical Gaussian SplattingCode2
PLA: Language-Driven Open-Vocabulary 3D Scene UnderstandingCode2
GALIP: Generative Adversarial CLIPs for Text-to-Image SynthesisCode2
Gaussian Grouping: Segment and Edit Anything in 3D ScenesCode2
AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous DrivingCode2
Feed-Forward SceneDINO for Unsupervised Semantic Scene CompletionCode2
A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and FutureCode2
A Unified Framework for 3D Scene UnderstandingCode2
FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anythingCode2
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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