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 1051–1100 of 1723 papers

TitleStatusHype
Robust Category-Level 3D Pose Estimation from Synthetic Data—0
Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments—0
PanoContext-Former: Panoramic Total Scene Understanding with a Transformer—0
Target-Aware Spatio-Temporal Reasoning via Answering Questions in Dynamics Audio-Visual ScenariosCode0
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding—0
Cross-Modality Time-Variant Relation Learning for Generating Dynamic Scene GraphsCode0
MetaMorphosis: Task-oriented Privacy Cognizant Feature Generation for Multi-task Learning—0
Transavs: End-To-End Audio-Visual Segmentation With Transformer—0
Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs—0
Self-supervised Pre-training with Masked Shape Prediction for 3D Scene Understanding—0
Living in a Material World: Learning Material Properties from Full-Waveform Flash Lidar Data for Semantic Segmentation—0
Learning-based Relational Object Matching Across Views—0
ArK: Augmented Reality with Knowledge Interactive Emergent Ability—0
Neural Implicit Dense Semantic SLAM—0
Compositional 3D Human-Object Neural Animation—0
ZRG: A Dataset for Multimodal 3D Residential Rooftop Understanding—0
Factored Neural Representation for Scene Understanding—0
360^ High-Resolution Depth Estimation via Uncertainty-aware Structural Knowledge Transfer—0
Semantic Segmentation with High Inference Speed in Off-Road EnvironmentsCode0
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation—0
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene UnderstandingCode0
Object-agnostic Affordance Categorization via Unsupervised Learning of Graph Embeddings—0
OVeNet: Offset Vector Network for Semantic SegmentationCode0
Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation—0
Uni-Fusion: Universal Continuous Mapping—0
Semantic segmentation of surgical hyperspectral images under geometric domain shifts—0
Content Adaptive Front End For Audio Classification—0
Efficient Computation Sharing for Multi-Task Visual Scene UnderstandingCode0
Shifted-Windows Transformers for the Detection of Cerebral Aneurysms in Microsurgery—0
PENet: A Joint Panoptic Edge Detection NetworkCode0
Generalized 3D Self-supervised Learning Framework via Prompted Foreground-Aware Feature Contrast—0
Camera-Radar Perception for Autonomous Vehicles and ADAS: Concepts, Datasets and Metrics—0
CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP—0
VTQA: Visual Text Question Answering via Entity Alignment and Cross-Media ReasoningCode0
Unified Perception: Efficient Depth-Aware Video Panoptic Segmentation with Minimal Annotation Costs—0
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation—0
Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning—0
Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors—0
RemoteNet: Remote Sensing Image Segmentation Network based on Global-Local Information—0
Open Challenges for Monocular Single-shot 6D Object Pose Estimation—0
Explicit3D: Graph Network with Spatial Inference for Single Image 3D Object Detection—0
Structured Generative Models for Scene Understanding—0
Object-Centric Scene Representations using Active Inference—0
A Flexible Framework for Virtual Omnidirectional Vision to Improve Operator Situation Awareness—0
Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation—0
Model-based inexact graph matching on top of CNNs for semantic scene understandingCode0
Long Range Pooling for 3D Large-Scale Scene Understanding—0
A Comprehensive Review of Modern Object Segmentation Approaches—0
Neural Radiance Field CodebooksCode0
Seeing With Sound: Long-range Acoustic Beamforming for Multimodal Scene Understanding—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