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 626–650 of 1723 papers

TitleStatusHype
Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models—0
Omni-Q: Omni-Directional Scene Understanding for Unsupervised Visual Grounding—0
Robust Multi-Modal Image Stitching for Improved Scene Understanding—0
Cloud-Device Collaborative Learning for Multimodal Large Language Models—0
EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AICode2
DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object DetectionCode1
WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural EnvironmentsCode1
Pola4All: survey of polarimetric applications and an open-source toolkit to analyze polarizationCode1
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
Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask GuidanceCode1
Simple Image-level Classification Improves Open-vocabulary Object DetectionCode1
Transformers in Unsupervised Structure-from-MotionCode1
Weakly-Supervised 3D Visual Grounding based on Visual Linguistic Alignment—0
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding—0
Dietary Assessment with Multimodal ChatGPT: A Systematic Analysis—0
Zoom in on the Plant: Fine-grained Analysis of Leaf, Stem and Vein InstancesCode0
Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D EnvironmentsCode1
Chat-Scene: Bridging 3D Scene and Large Language Models with Object IdentifiersCode2
X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-modal Knowledge TransferCode0
Spatiotemporal Event Graphs for Dynamic Scene Understanding—0
SkyScenes: A Synthetic Dataset for Aerial Scene Understanding—0
Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection—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