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

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Showing 451–500 of 1723 papers

TitleStatusHype
Image Segmentation Using Deep Learning: A SurveyCode1
NODIS: Neural Ordinary Differential Scene UnderstandingCode1
Visual-Semantic Graph Attention Networks for Human-Object Interaction DetectionCode1
IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal EstimationCode1
AeroRIT: A New Scene for Hyperspectral Image AnalysisCode1
TextSLAM: Visual SLAM with Planar Text FeaturesCode1
Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GANCode1
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion FramesCode1
Underwater Image Super-Resolution using Deep Residual MultipliersCode1
Global Aggregation then Local Distribution in Fully Convolutional NetworksCode1
Dynamic Graph Message Passing NetworksCode1
VideoNavQA: Bridging the Gap between Visual and Embodied Question AnsweringCode1
M3D-RPN: Monocular 3D Region Proposal Network for Object DetectionCode1
From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation NetworkCode1
OK-VQA: A Visual Question Answering Benchmark Requiring External KnowledgeCode1
GFF: Gated Fully Fusion for Semantic SegmentationCode1
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene UnderstandingCode1
Unified Perceptual Parsing for Scene UnderstandingCode1
Visual Graphs from Motion (VGfM): Scene understanding with object geometry reasoningCode1
Digging Into Self-Supervised Monocular Depth EstimationCode1
DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny ObjectsCode1
Semantic Line Detection and Its ApplicationsCode1
LinkNet: Exploiting Encoder Representations for Efficient Semantic SegmentationCode1
ScanNet: Richly-annotated 3D Reconstructions of Indoor ScenesCode1
Joint 2D-3D-Semantic Data for Indoor Scene UnderstandingCode1
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