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 951–975 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
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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