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 1126–1150 of 1723 papers

TitleStatusHype
Picture: A Probabilistic Programming Language for Scene Perception—0
CoMatcher: Multi-View Collaborative Feature Matching—0
Cognitive Interpretation of Everyday Activities: Toward Perceptual Narrative Based Visuo-Spatial Scene Interpretation—0
Places: An Image Database for Deep Scene Understanding—0
COFGA: Classification Of Fine-Grained Features In Aerial Images—0
PlaneSegNet: Fast and Robust Plane Estimation Using a Single-stage Instance Segmentation CNN—0
3D Vision-Language Gaussian Splatting—0
Plausible Uncertainties for Human Pose Regression—0
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples—0
CodeMapping: Real-Time Dense Mapping for Sparse SLAM using Compact Scene Representations—0
Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection—0
ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings—0
CloudFort: Enhancing Robustness of 3D Point Cloud Classification Against Backdoor Attacks via Spatial Partitioning and Ensemble Prediction—0
Cloud-Device Collaborative Learning for Multimodal Large Language Models—0
Clock-Modeled Ternary Spatial Relations for Visual Scene Analysis—0
CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP—0
Polarimetric Spatio-Temporal Light Transport Probing—0
Class-Imbalanced Semi-Supervised Learning for Large-Scale Point Cloud Semantic Segmentation via Decoupling Optimization—0
Classification of Geographical Land Structure Using Convolution Neural Network and Transfer Learning—0
Classification of Aerial Photogrammetric 3D Point Clouds—0
Pop-up SLAM: Semantic Monocular Plane SLAM for Low-texture Environments—0
3D-VirtFusion: Synthetic 3D Data Augmentation through Generative Diffusion Models and Controllable Editing—0
Class-Agnostic Visio-Temporal Scene Sketch Semantic Segmentation—0
PoSeg: Pose-Aware Refinement Network for Human Instance Segmentation—0
PPTFormer: Pseudo Multi-Perspective Transformer for UAV Segmentation—0
Show:102550
← PrevPage 46 of 69Next →
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