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 1376–1400 of 1723 papers

TitleStatusHype
Adversarial Attacks on Monocular Depth Estimation—0
A Robotic 3D Perception System for Operating Room Environment Awareness—0
Neural Mesh Refiner for 6-DoF Pose Estimation—0
Fabric Surface Characterization: Assessment of Deep Learning-based Texture Representations Using a Challenging Dataset—0
Probabilistic Future Prediction for Video Scene Understanding—0
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation—0
AP-MTL: Attention Pruned Multi-task Learning Model for Real-time Instrument Detection and Segmentation in Robot-assisted SurgeryCode0
Cross-modal Learning for Multi-modal Video Categorization—0
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice—0
Shallow2Deep: Indoor Scene Modeling by Single Image Understanding—0
3D Gated Recurrent Fusion for Semantic Scene Completion—0
Exploiting Temporal Coherence for Multi-modal Video Categorization—0
PoSeg: Pose-Aware Refinement Network for Human Instance Segmentation—0
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation—0
Multi-Modal Attention-based Fusion Model for Semantic Segmentation of RGB-Depth Images—0
DADA: Driver Attention Prediction in Driving Accident ScenariosCode0
Inferring Distributions Over Depth from a Single ImageCode0
CNN-based Lidar Point Cloud De-Noising in Adverse WeatherCode0
Scene recognition based on DNN and game theory with its applications in human-robot interaction—0
Deep Learning based Switching Filter for Impulsive Noise Removal in Color ImagesCode0
Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object RepresentationsCode0
Language-based Colorization of Scene SketchesCode0
Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image—0
Knowledge Distillation for Incremental Learning in Semantic Segmentation—0
PT-ResNet: Perspective Transformation-Based Residual Network for Semantic Road Image 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