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 476–500 of 1723 papers

TitleStatusHype
The Cityscapes Dataset for Semantic Urban Scene UnderstandingCode1
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene UnderstandingCode1
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image SegmentationCode1
Microsoft COCO: Common Objects in ContextCode1
Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models—0
Advancing Complex Wide-Area Scene Understanding with Hierarchical Coresets Selection—0
City-VLM: Towards Multidomain Perception Scene Understanding via Multimodal Incomplete Learning—0
Tactical Decision for Multi-UGV Confrontation with a Vision-Language Model-Based Commander—0
Seeing the Signs: A Survey of Edge-Deployable OCR Models for Billboard Visibility Analysis—0
EmbRACE-3K: Embodied Reasoning and Action in Complex Environments—0
OST-Bench: Evaluating the Capabilities of MLLMs in Online Spatio-temporal Scene UnderstandingCode0
MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation—0
What Demands Attention in Urban Street Scenes? From Scene Understanding towards Road Safety: A Survey of Vision-driven Datasets and Studies—0
VoteSplat: Hough Voting Gaussian Splatting for 3D Scene Understanding—0
CoPa-SG: Dense Scene Graphs with Parametric and Proto-Relations—0
Case-based Reasoning Augmented Large Language Model Framework for Decision Making in Realistic Safety-Critical Driving Scenarios—0
DreamAnywhere: Object-Centric Panoramic 3D Scene Generation—0
IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals—0
HOIverse: A Synthetic Scene Graph Dataset With Human Object Interactions—0
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations—0
SceneAware: Scene-Constrained Pedestrian Trajectory Prediction with LLM-Guided WalkabilityCode0
Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment—0
Unified Representation Space for 3D Visual Grounding—0
Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems—0
FreeQ-Graph: Free-form Querying with Semantic Consistent Scene Graph for 3D Scene Understanding—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