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 871–880 of 1723 papers

Title	Date	Tasks	Status	Hype
Unleash the Potential of Image Branch for Cross-modal 3D Object Detection	Jan 22, 2023	3D Object DetectionAutonomous Vehicles	CodeCode Available	1
Model-based inexact graph matching on top of CNNs for semantic scene understanding	Jan 18, 2023	Brain SegmentationDeep Learning	CodeCode Available	0
Long Range Pooling for 3D Large-Scale Scene Understanding	Jan 17, 2023	Scene Understanding	—Unverified	0
Diffusion-based Generation, Optimization, and Planning in 3D Scenes	Jan 15, 2023	DenoisingGrasp Generation	CodeCode Available	2
A Comprehensive Review of Modern Object Segmentation Approaches	Jan 13, 2023	Image SegmentationObject	—Unverified	0
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP	Jan 12, 2023	3D Semantic SegmentationContrastive Learning	CodeCode Available	1
Neural Radiance Field Codebooks	Jan 10, 2023	ObjectRepresentation Learning	CodeCode Available	0
Plausible Uncertainties for Human Pose Regression	Jan 1, 2023	Autonomous DrivingPose Estimation	—Unverified	0
Visual Traffic Knowledge Graph Generation from Scene Images	Jan 1, 2023	Graph AttentionGraph Generation	—Unverified	0
RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation	Jan 1, 2023	Graph GenerationScene Understanding	—Unverified	0

Show:10 25 50

← PrevPage 88 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