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 676–700 of 1723 papers

TitleStatusHype
Advancing the Understanding of Fine-Grained 3D Forest Structures using Digital Cousins and Simulation-to-Reality: Methods and Datasets—0
LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving—0
CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds—0
IAM: Enhancing RGB-D Instance Segmentation with New BenchmarksCode0
3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer—0
Leverage Cross-Attention for End-to-End Open-Vocabulary Panoptic Reconstruction—0
Beyond Human Perception: Understanding Multi-Object World from Monocular ViewCode0
Vision-Language Embodiment for Monocular Depth Estimation—0
Object-aware Sound Source Localization via Audio-Visual Scene UnderstandingCode0
AVQACL: A Novel Benchmark for Audio-Visual Question Answering Continual LearningCode0
HUSH: Holistic Panoramic 3D Scene Understanding using Spherical Harmonics—0
Scene Map-based Prompt Tuning for Navigation Instruction Generation—0
GroundingFace: Fine-grained Face Understanding via Pixel Grounding Multimodal Large Language Model—0
TADFormer: Task-Adaptive Dynamic TransFormer for Efficient Multi-Task Learning—0
3D-MVP: 3D Multiview Pretraining for Manipulation—0
Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding—0
OVGaussian: Generalizable 3D Gaussian Segmentation with Open VocabulariesCode0
Text-to-Image GAN with Pretrained Representations—0
4D Gaussian Splatting: Modeling Dynamic Scenes with Native 4D Primitives—0
MLLM-SUL: Multimodal Large Language Model for Semantic Scene Understanding and Localization in Traffic ScenariosCode0
UniPLV: Towards Label-Efficient Open-World 3D Scene Understanding by Regional Visual Language Supervision—0
Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous RacingCode0
LangSurf: Language-Embedded Surface Gaussians for 3D Scene Understanding—0
Application of Multimodal Large Language Models in Autonomous Driving—0
Improving Object Detection for Time-Lapse Imagery Using Temporal Features in Wildlife MonitoringCode0
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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