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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 1191–1200 of 1723 papers

Title	Date	Tasks	Status	Hype
Bidirectional Projection Network for Cross Dimension Scene Understanding	Mar 26, 2021	2D Semantic Segmentation3D Semantic Segmentation	CodeCode Available	1
Input-Output Balanced Framework for Long-tailed LiDAR Semantic Segmentation	Mar 26, 2021	Autonomous VehiclesDiversity	—Unverified	0
Tracking Pedestrian Heads in Dense Crowd	Mar 24, 2021	Head DetectionMulti-Object Tracking	CodeCode Available	1
Relation-aware Instance Refinement for Weakly Supervised Visual Grounding	Mar 24, 2021	ObjectRelation	CodeCode Available	1
OFFSEG: A Semantic Segmentation Framework For Off-Road Driving	Mar 23, 2021	Scene UnderstandingSegmentation	CodeCode Available	1
Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving	Mar 21, 2021	3D Semantic SegmentationAutonomous Driving	—Unverified	0
Knowledge-Guided Object Discovery with Acquired Deep Impressions	Mar 19, 2021	ObjectObject Discovery	CodeCode Available	0
A Comprehensive Survey of Scene Graphs: Generation and Application	Mar 17, 2021	Image CaptioningQuestion Answering	—Unverified	0
Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions	Mar 16, 2021	Autonomous DrivingDecoder	—Unverified	0
Detecting Human-Object Interaction via Fabricated Compositional Learning	Mar 15, 2021	Affordance RecognitionHuman-Object Interaction Detection	CodeCode Available	1

Show:10 25 50

← PrevPage 120 of 173Next →

All datasets Semantic Scene Understanding Challenge (passive actuation & ground-truth localisation)ADE20K val Semantic Scene Understanding Challenge (active actuation & ground-truth localisation)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ACRV Baseline	OMQ	0.44	—	Unverified
2	Team VGAI (TCS Research)	OMQ	0.37	—	Unverified
3	Demo_semantic_SLAM	OMQ	0.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CPN(ResNet-101)	Mean IoU	46.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ACRV Baseline	OMQ	0.35	—	Unverified