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 1201–1250 of 1723 papers

TitleStatusHype
Scale-aware Neural Network for Semantic Segmentation of Multi-resolution Remote Sensing Images—0
Monte Carlo Scene Search for 3D Scene UnderstandingCode1
Affect2MM: Affective Analysis of Multimedia Content Using Emotion CausalityCode1
Holistic 3D Scene Understanding from a Single Image with Implicit RepresentationCode1
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph AnalysisCode1
Fine-Grained Off-Road Semantic Segmentation and Mapping via Contrastive Learning—0
Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth EstimationCode0
Simulation-to-Real domain adaptation with teacher-student learning for endoscopic instrument segmentation—0
FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud SegmentationCode1
Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive LearningCode1
A Kinematic Bottleneck Approach For Pose Regression of Flexible Surgical Instruments directly from Images—0
Boundary-induced and scene-aggregated network for monocular depth predictionCode1
4D Panoptic LiDAR SegmentationCode1
RGB-D Railway Platform Monitoring and Scene Understanding for Enhanced Passenger SafetyCode1
Weakly Supervised Learning of Rigid 3D Scene FlowCode1
A2-FPN for Semantic Segmentation of Fine-Resolution Remotely Sensed ImagesCode1
Audiovisual Highlight Detection in Videos—0
Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical PanoramasCode1
Bidirectional Multi-scale Attention Networks for Semantic Segmentation of Oblique UAV ImageryCode0
Optical flow and scene flow estimation: A survey—0
Deep Learning--Based Scene Simplification for Bionic VisionCode0
OpenGF: An Ultra-Large-Scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the WorldCode1
The Ikshana Hypothesis of Human Scene UnderstandingCode0
Rethinking Semantic Segmentation Evaluation for Explainability and Model Selection—0
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images—0
Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor SetupsCode1
Grounding Consistency: Distilling Spatial Common Sense for Precise Visual Relationship DetectionCode1
BUTLER: Building Understanding in TextWorld via Language for Embodied Reasoning—0
Non-maximum Suppression Also Closes the Variational Approximation Gap of Multi-object Variational Autoencoders—0
Pseudo Label-Guided Multi Task Learning for Scene Understanding—0
Scene Text Detection for Augmented Reality -- Character Bigram Approach to reduce False Positive Rate—0
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding—0
Classification of Single-View Object Point Clouds—0
Embodied Visual Active Learning for Semantic Segmentation—0
Event-based Motion Segmentation with Spatio-Temporal Graph CutsCode1
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene ContextsCode1
Practical Auto-Calibration for Spatial Scene-Understanding from Crowdsourced Dashcamera Videos—0
Image-Graph-Image Translation via Auto-Encoding—0
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation—0
Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation—0
Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor EnvironmentsCode1
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene UnderstandingCode1
Understanding Bird's-Eye View of Road Semantics using an Onboard CameraCode1
Towards Part-Based Understanding of RGB-D ScansCode1
Group Contextual Encoding for 3D Point CloudsCode1
RfD-Net: Point Scene Understanding by Semantic Instance ReconstructionCode1
Exploring Deep 3D Spatial Encodings for Large-Scale 3D Scene Understanding—0
Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency—0
Visual place recognition: A survey from deep learning perspectiveCode1
The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation—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