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 251–275 of 1723 papers

TitleStatusHype
TADFormer : Task-Adaptive Dynamic Transformer for Efficient Multi-Task Learning—0
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
VideoLifter: Lifting Videos to 3D with Fast Hierarchical Stereo AlignmentCode2
IAM: Enhancing RGB-D Instance Segmentation with New BenchmarksCode0
GPT4Scene: Understand 3D Scenes from Videos with Vision-Language ModelsCode4
Leverage Cross-Attention for End-to-End Open-Vocabulary Panoptic Reconstruction—0
3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer—0
HUSH: Holistic Panoramic 3D Scene Understanding using Spherical Harmonics—0
Vision-Language Embodiment for Monocular Depth Estimation—0
GroundingFace: Fine-grained Face Understanding via Pixel Grounding Multimodal Large Language Model—0
3D-MVP: 3D Multiview Pretraining for Manipulation—0
Beyond Human Perception: Understanding Multi-Object World from Monocular ViewCode0
AVQACL: A Novel Benchmark for Audio-Visual Question Answering Continual LearningCode0
Scene Map-based Prompt Tuning for Navigation Instruction Generation—0
All-Day Multi-Camera Multi-Target TrackingCode1
Object-aware Sound Source Localization via Audio-Visual Scene UnderstandingCode0
TADFormer: Task-Adaptive Dynamic TransFormer for Efficient Multi-Task Learning—0
OVGaussian: Generalizable 3D Gaussian Segmentation with Open VocabulariesCode0
Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding—0
STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor ScenesCode3
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
Show:102550
← PrevPage 11 of 69Next →
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