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 151–175 of 1723 papers

TitleStatusHype
Grounded Situation Recognition with TransformersCode1
Hearing and Seeing Through CLIP: A Framework for Self-Supervised Sound Source LocalizationCode1
Global Aggregation then Local Distribution in Fully Convolutional NetworksCode1
GFF: Gated Fully Fusion for Semantic SegmentationCode1
Global-Reasoned Multi-Task Learning Model for Surgical Scene UnderstandingCode1
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion FramesCode1
GOV-NeSF: Generalizable Open-Vocabulary Neural Semantic FieldsCode1
General Geometry-aware Weakly Supervised 3D Object DetectionCode1
DC-SAM: In-Context Segment Anything in Images and Videos via Dual ConsistencyCode1
DTCLMapper: Dual Temporal Consistent Learning for Vectorized HD Map ConstructionCode1
Generating Visual Spatial Description via Holistic 3D Scene UnderstandingCode1
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic SegmentationCode1
CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesCode1
F-ViTA: Foundation Model Guided Visible to Thermal TranslationCode1
Cross-Modal and Uncertainty-Aware Agglomeration for Open-Vocabulary 3D Scene UnderstandingCode1
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene UnderstandingCode1
CoPeD-Advancing Multi-Robot Collaborative Perception: A Comprehensive Dataset in Real-World EnvironmentsCode1
3DP3: 3D Scene Perception via Probabilistic ProgrammingCode1
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic SegmentationCode1
From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object DetectionCode1
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene UnderstandingCode1
Context Prior for Scene SegmentationCode1
FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous DrivingCode1
AVSegFormer: Audio-Visual Segmentation with TransformerCode1
Few-Shot Object Detection and Viewpoint Estimation for Objects in the WildCode1
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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