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 1301–1350 of 1723 papers

TitleStatusHype
PointContrast: Unsupervised Pre-training for 3D Point Cloud UnderstandingCode1
Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery—0
ThreeDWorld: A Platform for Interactive Multi-Modal Physical SimulationCode1
Learning and Reasoning with the Graph Structure Representation in Robotic SurgeryCode1
JUMPS: Joints Upsampling Method for Pose Sequences—0
Analogical Image Translation for Fog Generation—0
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine IntelligenceCode1
Learning Visual Commonsense for Robust Scene Graph GenerationCode1
Exploiting the ConvLSTM: Human Action Recognition using Raw Depth Video-Based Recurrent Neural Networks—0
Benchmarking Unsupervised Object Representations for Video SequencesCode1
0-MMS: Zero-Shot Multi-Motion Segmentation With A Monocular Event CameraCode1
MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views—0
From Real to Synthetic and Back: Synthesizing Training Data for Multi-Person Scene Understanding—0
Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations—0
SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds—0
IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous DrivingCode1
FroDO: From Detections to 3D Objects—0
Where Does It End? - Reasoning About Hidden Surfaces by Object Intersection ConstraintsCode0
SUPER: A Novel Lane Detection System—0
Taskology: Utilizing Task Relations at Scale—0
FroDO: From Detections to 3D Objects—0
VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban EnvironmentsCode1
Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene UnderstandingCode1
Where Does It End? -- Reasoning About Hidden Surfaces by Object Intersection ConstraintsCode0
Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions—0
Self-Supervised Scene De-occlusionCode1
MNEW: Multi-domain Neighborhood Embedding and Weighting for Sparse Point Clouds Segmentation—0
Context Prior for Scene SegmentationCode1
PointGroup: Dual-Set Point Grouping for 3D Instance SegmentationCode1
Occlusion-Aware Depth Estimation with Adaptive Normal ConstraintsCode1
Semantic Segmentation of Underwater Imagery: Dataset and BenchmarkCode1
Learning Human-Object Interaction Detection using Interaction PointsCode1
Distilled Semantics for Comprehensive Scene Understanding from VideosCode1
LayoutMP3D: Layout Annotation of Matterport3DCode1
Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point CloudsCode1
ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings—0
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D NetworksCode1
One-Shot GAN Generated Fake Face Detection—0
High-Accuracy Facial Depth Models derived from 3D Synthetic Data—0
SaccadeNet: A Fast and Accurate Object DetectorCode1
Adversarial Attacks on Monocular Depth Estimation—0
Who2com: Collaborative Perception via Learnable Handshake CommunicationCode1
Explainable Object-induced Action Decision for Autonomous VehiclesCode1
A Robotic 3D Perception System for Operating Room Environment Awareness—0
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban RoadwaysCode1
Neural Mesh Refiner for 6-DoF Pose Estimation—0
Fabric Surface Characterization: Assessment of Deep Learning-based Texture Representations Using a Challenging Dataset—0
Scene Completeness-Aware Lidar Depth Completion for Driving ScenarioCode1
Probabilistic Future Prediction for Video Scene Understanding—0
AP-MTL: Attention Pruned Multi-task Learning Model for Real-time Instrument Detection and Segmentation in Robot-assisted SurgeryCode0
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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