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 101–110 of 1723 papers

Title	Date	Tasks	Status	Hype
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition	Mar 20, 2023	RetrievalScene Understanding	CodeCode Available	2
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis	Jan 30, 2023	Image GenerationScene Understanding	CodeCode Available	2
Diffusion-based Generation, Optimization, and Planning in 3D Scenes	Jan 15, 2023	DenoisingGrasp Generation	CodeCode Available	2
Panoptic Lifting for 3D Scene Understanding with Neural Fields	Dec 19, 2022	2D Panoptic SegmentationPanoptic Segmentation	CodeCode Available	2
PLA: Language-Driven Open-Vocabulary 3D Scene Understanding	Nov 29, 2022	3D Open-Vocabulary Instance SegmentationContrastive Learning	CodeCode Available	2
OpenScene: 3D Scene Understanding with Open Vocabularies	Nov 28, 2022	3D Open-Vocabulary Instance Segmentation3D Semantic Segmentation	CodeCode Available	2
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer	Jul 28, 2022	Autonomous DrivingAutonomous Vehicles	CodeCode Available	2
Panoptic Scene Graph Generation	Jul 22, 2022	BenchmarkingPanoptic Scene Graph Generation	CodeCode Available	2
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation	Apr 3, 2022	DecoderDepth Estimation	CodeCode Available	2
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene Understanding	Mar 15, 2022	Boundary DetectionHuman Parsing	CodeCode Available	2

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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