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 951–1000 of 1723 papers

TitleStatusHype
Robust Multi-Modal Image Stitching for Improved Scene Understanding—0
Cloud-Device Collaborative Learning for Multimodal Large Language Models—0
BridgeNet: Comprehensive and Effective Feature Interactions via Bridge Feature for Multi-task Dense Predictions—0
Object Attribute Matters in Visual Question AnsweringCode0
AccidentGPT: Accident Analysis and Prevention from V2X Environmental Perception with Multi-modal Large Model—0
Language-Assisted 3D Scene Understanding—0
Weakly-Supervised 3D Visual Grounding based on Visual Linguistic Alignment—0
Dietary Assessment with Multimodal ChatGPT: A Systematic Analysis—0
Zoom in on the Plant: Fine-grained Analysis of Leaf, Stem and Vein InstancesCode0
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding—0
X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-modal Knowledge TransferCode0
Spatiotemporal Event Graphs for Dynamic Scene Understanding—0
Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection—0
SkyScenes: A Synthetic Dataset for Aerial Scene Understanding—0
Prospective Role of Foundation Models in Advancing Autonomous Vehicles—0
IGFNet: Illumination-Guided Fusion Network for Semantic Scene Understanding using RGB-Thermal ImagesCode0
A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors—0
Segment Any 3D Gaussians—0
HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos—0
Scene Summarization: Clustering Scene Videos into Spatially Diverse Frames—0
REACT: Recognize Every Action Everywhere All At Once—0
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding—0
Multi-task Planar Reconstruction with Feature Warping GuidanceCode0
GPT-4V Takes the Wheel: Promises and Challenges for Pedestrian Behavior Prediction—0
GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding—0
SeaDSC: A video-based unsupervised method for dynamic scene change detection in unmanned surface vehicles—0
Two Stream Scene Understanding on Graph Embedding—0
Continual Learning of Unsupervised Monocular Depth from VideosCode0
Leveraging Large-Scale Pretrained Vision Foundation Models for Label-Efficient 3D Point Cloud Segmentation—0
Single-view 3D Scene Reconstruction with High-fidelity Shape and Texture—0
Recent Advances in Multi-modal 3D Scene Understanding: A Comprehensive Survey and Evaluation—0
P2AT: Pyramid Pooling Axial Transformer for Real-time Semantic SegmentationCode0
Panoptic Out-of-Distribution Segmentation—0
S4C: Self-Supervised Semantic Scene Completion with Neural Fields—0
Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models—0
TextPSG: Panoptic Scene Graph Generation from Textual Descriptions—0
DualMLP: a two-stream fusion model for 3D point cloud classificationCode0
Adaptive Visual Scene Understanding: Incremental Scene Graph GenerationCode0
Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception—0
Logical Bias Learning for Object Relation Prediction—0
SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstruction—0
Language-EXtended Indoor SLAM (LEXIS): A Versatile System for Real-time Visual Scene Understanding—0
SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset—0
LLMR: Real-time Prompting of Interactive Worlds using Large Language Models—0
Survey of Action Recognition, Spotting and Spatio-Temporal Localization in Soccer -- Current Trends and Research Perspectives—0
Shape Anchor Guided Holistic Indoor Scene UnderstandingCode0
PanoMixSwap Panorama Mixing via Structural Swapping for Indoor Scene Understanding—0
So you think you can track?—0
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning—0
AmodalSynthDrive: A Synthetic Amodal Perception Dataset 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