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 551–600 of 1723 papers

TitleStatusHype
Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception—0
EgoSplat: Open-Vocabulary Egocentric Scene Understanding with Language Embedded 3D Gaussian Splatting—0
EgoGaussian: Dynamic Scene Understanding from Egocentric Video with 3D Gaussian Splatting—0
Calibrated and Efficient Sampling-Free Confidence Estimation for LiDAR Scene Semantic Segmentation—0
AquaticCLIP: A Vision-Language Foundation Model for Underwater Scene Analysis—0
Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring—0
Egocentric Activity Recognition and Localization on a 3D Map—0
Efficient Point Transformer for Large-scale 3D Scene Understanding—0
A Preprocessing and Postprocessing Voxel-based Method for LiDAR Semantic Segmentation Improvement in Long Distance—0
3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer—0
Efficient Label Collection for Unlabeled Image Datasets—0
Efficient Interactive 3D Multi-Object Removal—0
CAGS: Open-Vocabulary 3D Scene Understanding with Context-Aware Gaussian Splatting—0
Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving—0
CaDIS: Cataract Dataset for Image Segmentation—0
AdaToken-3D: Dynamic Spatial Gating for Efficient 3D Large Multimodal-Models Reasoning—0
360^ High-Resolution Depth Estimation via Uncertainty-aware Structural Knowledge Transfer—0
Efficient 3D Instance Mapping and Localization with Neural Fields—0
Real-time Semantic Segmentation with Context Aggregation Network—0
EarthNets: Empowering AI in Earth Observation—0
EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding—0
BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding—0
Application of Multimodal Large Language Models in Autonomous Driving—0
DEF-oriCORN: efficient 3D scene understanding for robust language-directed manipulation without demonstrations—0
Improving Human-Object Interaction Detection via Phrase Learning and Label Composition—0
Improving Online Lane Graph Extraction by Object-Lane Clustering—0
DynaSLAM II: Tightly-Coupled Multi-Object Tracking and SLAM—0
Trajectory-based Scene Understanding using Dirichlet Process Mixture Model—0
BUTLER: Building Understanding in TextWorld via Language for Embodied Reasoning—0
Dynamic Scene Understanding from Vision-Language Representations—0
Building an Affordances Map with Interactive Perception—0
A pooling based scene text proposal technique for scene text reading in the wild—0
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving—0
Dynamic Clustering Transformer Network for Point Cloud Segmentation—0
A Dataset for Semantic Segmentation in the Presence of Unknowns—0
Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems—0
Image-to-Height Domain Translation for Synthetic Aperture Sonar—0
DublinCity: Annotated LiDAR Point Cloud and its Applications—0
Bridging Scene Understanding and Task Execution with Flexible Simulation Environments—0
BPDO:Boundary Points Dynamic Optimization for Arbitrary Shape Scene Text Detection—0
Image-Graph-Image Translation via Auto-Encoding—0
Image Parsing with Stochastic Scene Grammar—0
DSNet: An Efficient CNN for Road Scene Segmentation—0
BOX3D: Lightweight Camera-LiDAR Fusion for 3D Object Detection and Localization—0
DSM: Building A Diverse Semantic Map for 3D Visual Grounding—0
Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration—0
Image Captioning with Integrated Bottom-Up and Multi-level Residual Top-Down Attention for Game Scene Understanding—0
IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement—0
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation—0
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving—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