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 1001–1050 of 1723 papers

TitleStatusHype
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds—0
Object Recognition System on a Tactile Device for Visually Impaired—0
Object segmentation in depth maps with one user click and a synthetically trained fully convolutional network—0
ObjVariantEnsemble: Advancing Point Cloud LLM Evaluation in Challenging Scenes with Subtly Distinguished Objects—0
Occam's LGS: A Simple Approach for Language Gaussian Splatting—0
OccLE: Label-Efficient 3D Semantic Occupancy Prediction—0
Dense RGB-D semantic mapping with Pixel-Voxel neural network—0
Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding—0
Occlusion Boundary Detection via Deep Exploration of Context—0
Deep Structured Scene Parsing by Learning with Image Descriptions—0
OffRoadTranSeg: Semi-Supervised Segmentation using Transformers on OffRoad environments—0
Deep Semantic Segmentation of Natural and Medical Images: A Review—0
Cross-Domain Synthetic-to-Real In-the-Wild Depth and Normal Estimation for 3D Scene Understanding—0
OmniIndoor3D: Comprehensive Indoor 3D Reconstruction—0
Omni-Q: Omni-Directional Scene Understanding for Unsupervised Visual Grounding—0
Unveiling the Potential of iMarkers: Invisible Fiducial Markers for Advanced Robotics—0
On-chip Hyperspectral Image Segmentation with Fully Convolutional Networks for Scene Understanding in Autonomous Driving—0
Deep Scene Text Detection with Connected Component Proposals—0
On Efficient Real-Time Semantic Segmentation: A Survey—0
Urban Scene Diffusion through Semantic Occupancy Map—0
One-Shot GAN Generated Fake Face Detection—0
Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding—0
Deep Point Cloud Simplification for High-quality Surface Reconstruction—0
Deep Optics for Monocular Depth Estimation and 3D Object Detection—0
Deeply Learned Attributes for Crowded Scene Understanding—0
Online Self-supervised Scene Segmentation for Micro Aerial Vehicles—0
On Steering Multi-Annotations per Sample for Multi-Task Learning—0
On Support Relations and Semantic Scene Graphs—0
On Support Relations Inference and Scene Hierarchy Graph Construction from Point Cloud in Clustered Environments—0
On the Importance of Visual Context for Data Augmentation in Scene Understanding—0
AccidentBlip: Agent of Accident Warning based on MA-former—0
On the Pareto Efficiency of Quantized CNN—0
Deep Learning Techniques for Geospatial Data Analysis—0
On the Sins of Image Synthesis Loss for Self-supervised Depth Estimation—0
User Identification: A Key Enabler for Multi-User Vision-Aided Communications—0
On the usability of deep networks for object-based image analysis—0
Deep Learning Advances in Vision-Based Traffic Accident Anticipation: A Comprehensive Review of Methods,Datasets,and Future Directions—0
Open Challenges for Monocular Single-shot 6D Object Pose Estimation—0
Deep Learned Full-3D Object Completion from Single View—0
Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation—0
Deep cross-domain building extraction for selective depth estimation from oblique aerial imagery—0
OpenGS-SLAM: Open-Set Dense Semantic SLAM with 3D Gaussian Splatting for Object-Level Scene Understanding—0
Deep Contextual Attention for Human-Object Interaction Detection—0
OpenLex3D: A New Evaluation Benchmark for Open-Vocabulary 3D Scene Representations—0
DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding—0
Large Scale Joint Semantic Re-Localisation and Scene Understanding via Globally Unique Instance Coordinate Regression—0
Open-RGBT: Open-vocabulary RGB-T Zero-shot Semantic Segmentation in Open-world Environments—0
OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets—0
OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets—0
Deep Bayesian Image Set Classification: A Defence Approach against Adversarial Attacks—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