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 601–650 of 1723 papers

TitleStatusHype
MLLM-For3D: Adapting Multimodal Large Language Model for 3D Reasoning Segmentation—0
PanopticSplatting: End-to-End Panoptic Gaussian Splatting—0
Geometric Constrained Non-Line-of-Sight Imaging—0
PanoGS: Gaussian-based Panoptic Segmentation for 3D Open Vocabulary Scene Understanding—0
ClaraVid: A Holistic Scene Reconstruction Benchmark From Aerial Perspective With Delentropy-Based Complexity Profiling—0
ExCap3D: Expressive 3D Scene Understanding via Object Captioning with Varying Detail—0
From Monocular Vision to Autonomous Action: Guiding Tumor Resection via 3D Reconstruction—0
SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments—0
These Magic Moments: Differentiable Uncertainty Quantification of Radiance Field Models—0
PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point CloudsCode0
ChatBEV: A Visual Language Model that Understands BEV Maps—0
Learning-based 3D Reconstruction in Autonomous Driving: A Comprehensive Survey—0
HIS-GPT: Towards 3D Human-In-Scene Multimodal Understanding—0
EgoSplat: Open-Vocabulary Egocentric Scene Understanding with Language Embedded 3D Gaussian Splatting—0
Road Rage Reasoning with Vision-language Models (VLMs): Task Definition and Evaluation Dataset—0
TARS: Traffic-Aware Radar Scene Flow Estimation—0
TGP: Two-modal occupancy prediction with 3D Gaussian and sparse points for 3D Environment Awareness—0
Graph-Grounded LLMs: Leveraging Graphical Function Calling to Minimize LLM Hallucinations—0
Object-Aware DINO (Oh-A-Dino): Enhancing Self-Supervised Representations for Multi-Object Instance Retrieval—0
MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation—0
DIV-FF: Dynamic Image-Video Feature Fields For Environment Understanding in Egocentric Videos—0
Generating Robot Constitutions & Benchmarks for Semantic Safety—0
General-Purpose Aerial Intelligent Agents Empowered by Large Language Models—0
LLaFEA: Frame-Event Complementary Fusion for Fine-Grained Spatiotemporal Understanding in LMMs—0
CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting—0
Towards Ambiguity-Free Spatial Foundation Model: Rethinking and Decoupling Depth AmbiguityCode0
Segment Anything, Even Occluded—0
Feature-EndoGaussian: Feature Distilled Gaussian Splatting in Surgical Deformable Scene Reconstruction—0
SplatTalk: 3D VQA with Gaussian Splatting—0
EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images—0
Vision-Language Models Struggle to Align Entities across Modalities—0
Improving 6D Object Pose Estimation of metallic Household and Industry Objects—0
SurgiSAM2: Fine-tuning a foundational model for surgical video anatomy segmentation and detection—0
Label-Efficient LiDAR Panoptic Segmentation—0
SSNet: Saliency Prior and State Space Model-based Network for Salient Object Detection in RGB-D Images—0
Every SAM Drop Counts: Embracing Semantic Priors for Multi-Modality Image Fusion and Beyond—0
vS-Graphs: Integrating Visual SLAM and Situational Graphs through Multi-level Scene Understanding—0
OpenGS-SLAM: Open-Set Dense Semantic SLAM with 3D Gaussian Splatting for Object-Level Scene Understanding—0
Floorplan-SLAM: A Real-Time, High-Accuracy, and Long-Term Multi-Session Point-Plane SLAM for Efficient Floorplan Reconstruction—0
VLM-E2E: Enhancing End-to-End Autonomous Driving with Multimodal Driver Attention Fusion—0
AAD-LLM: Neural Attention-Driven Auditory Scene Understanding—0
Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration—0
Hierarchical Context Transformer for Multi-level Semantic Scene UnderstandingCode0
AVD2: Accident Video Diffusion for Accident Video Description—0
Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning—0
Understanding and Evaluating Hallucinations in 3D Visual Language Models—0
Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review—0
3D-Grounded Vision-Language Framework for Robotic Task Planning: Automated Prompt Synthesis and Supervised Reasoning—0
FLARES: Fast and Accurate LiDAR Multi-Range Semantic Segmentation—0
sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views—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