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 801–850 of 1723 papers

TitleStatusHype
Transavs: End-To-End Audio-Visual Segmentation With Transformer—0
Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and BeyondCode1
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
TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene UnderstandingCode2
DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric VoxelizationCode1
Neural Implicit Dense Semantic SLAM—0
A Review of Panoptic Segmentation for Mobile Mapping Point CloudsCode1
Compositional 3D Human-Object Neural Animation—0
ZRG: A Dataset for Multimodal 3D Residential Rooftop Understanding—0
RGB-D Indiscernible Object Counting in Underwater ScenesCode1
Knowledge Distillation from 3D to Bird's-Eye-View for LiDAR Semantic SegmentationCode1
Advances in Deep Concealed Scene UnderstandingCode1
Factored Neural Representation for Scene Understanding—0
RS2G: Data-Driven Scene-Graph Extraction and Embedding for Robust Autonomous Perception and Scenario UnderstandingCode1
360^ High-Resolution Depth Estimation via Uncertainty-aware Structural Knowledge Transfer—0
Learning How To Robustly Estimate Camera Pose in Endoscopic VideosCode1
STRAP: Structured Object Affordance Segmentation with Point SupervisionCode1
ViPLO: Vision Transformer based Pose-Conditioned Self-Loop Graph for Human-Object Interaction DetectionCode1
Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene UnderstandingCode2
iDisc: Internal Discretization for Monocular Depth EstimationCode3
Graph-based Topology Reasoning for Driving ScenesCode2
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
RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene UnderstandingCode2
Object-agnostic Affordance Categorization via Unsupervised Learning of Graph Embeddings—0
Complementary Random Masking for RGB-Thermal Semantic SegmentationCode1
DPF: Learning Dense Prediction Fields with Weak SupervisionCode1
HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph GenerationCode1
Real-Time Semantic Segmentation using Hyperspectral Images for Mapping Unstructured and Unknown EnvironmentsCode1
You Only Need One Thing One Click: Self-Training for Weakly Supervised 3D Scene UnderstandingCode1
Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation—0
Viewpoint Equivariance for Multi-View 3D Object DetectionCode1
OVeNet: Offset Vector Network for Semantic SegmentationCode0
Self-distillation for surgical action recognitionCode1
Uni-Fusion: Universal Continuous Mapping—0
Semantic segmentation of surgical hyperspectral images under geometric domain shifts—0
Constructing Metric-Semantic Maps using Floor Plan Priors for Long-Term Indoor LocalizationCode1
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D RecognitionCode2
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
SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous DrivingCode3
PENet: A Joint Panoptic Edge Detection NetworkCode0
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object DetectionCode1
Generalized 3D Self-supervised Learning Framework via Prompted Foreground-Aware Feature Contrast—0
Show:102550
← PrevPage 17 of 35Next →
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