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 176–200 of 1723 papers

TitleStatusHype
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
DIV-FF: Dynamic Image-Video Feature Fields For Environment Understanding in Egocentric Videos—0
MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation—0
TrackOcc: Camera-based 4D Panoptic Occupancy TrackingCode2
General-Purpose Aerial Intelligent Agents Empowered by Large Language Models—0
Generating Robot Constitutions & Benchmarks for Semantic Safety—0
LLaFEA: Frame-Event Complementary Fusion for Fine-Grained Spatiotemporal Understanding in LMMs—0
Chameleon: Fast-slow Neuro-symbolic Lane Topology ExtractionCode2
A Data-Centric Revisit of Pre-Trained Vision Models for Robot LearningCode1
CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting—0
Segment Anything, Even Occluded—0
Feature-EndoGaussian: Feature Distilled Gaussian Splatting in Surgical Deformable Scene Reconstruction—0
SplatTalk: 3D VQA with Gaussian Splatting—0
VLScene: Vision-Language Guidance Distillation for Camera-Based 3D Semantic Scene CompletionCode1
Towards Ambiguity-Free Spatial Foundation Model: Rethinking and Decoupling Depth AmbiguityCode0
An Egocentric Vision-Language Model based Portable Real-time Smart AssistantCode2
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
SurgiSAM2: Fine-tuning a foundational model for surgical video anatomy segmentation and detection—0
Improving 6D Object Pose Estimation of metallic Household and Industry Objects—0
SSNet: Saliency Prior and State Space Model-based Network for Salient Object Detection in RGB-D Images—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