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 1026–1050 of 1723 papers

TitleStatusHype
TransKD: Transformer Knowledge Distillation for Efficient Semantic SegmentationCode1
RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep LearningCode1
RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage AssessmentCode1
GroupViT: Semantic Segmentation Emerges from Text SupervisionCode2
ReorientBot: Learning Object Reorientation for Specific-Posed PlacementCode1
Movies2Scenes: Using Movie Metadata to Learn Scene Representation—0
3DRM:Pair-wise relation module for 3D object detectionCode1
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentationCode0
From Node to Graph: Joint Reasoning on Visual-Semantic Relational Graph for Zero-Shot DetectionCode0
HAKE: A Knowledge Engine Foundation for Human Activity UnderstandingCode2
SafePicking: Learning Safe Object Extraction via Object-Level MappingCode1
Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera IntrinsicsCode1
Catch Me if You Can: A Novel Task for Detection of Covert Geo-Locations (CGL)—0
StandardSim: A Synthetic Dataset For Retail Environments—0
Image-based Navigation in Real-World Environments via Multiple Mid-level Representations: Fusion Models, Benchmark and Efficient EvaluationCode0
Unsupervised Single-shot Depth Estimation using Perceptual ReconstructionCode0
Global-Reasoned Multi-Task Learning Model for Surgical Scene UnderstandingCode1
MonoDistill: Learning Spatial Features for Monocular 3D Object DetectionCode1
Moving Beyond Navigation with Active Neural SLAM—0
Towards holistic scene understanding: Semantic segmentation and beyond—0
Interactive Attention AI to translate low light photos to captions for night scene understanding in women safety—0
Scene Graph Generation: A Comprehensive Survey—0
Weakly Supervised Segmentation on Outdoor 4D Point Clouds With Temporal Matching and Spatial Graph PropagationCode0
Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation—0
Glass Segmentation Using Intensity and Spectral Polarization Cues—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