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 891–900 of 1723 papers

Title	Date	Tasks	Status	Hype
MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling with Informative-Preserved Reconstruction and Self-Distilled Consistency	Dec 20, 2022	object-detectionObject Detection	—Unverified	0
Panoptic Lifting for 3D Scene Understanding with Neural Fields	Dec 19, 2022	2D Panoptic SegmentationPanoptic Segmentation	CodeCode Available	2
Learning Object-level Point Augmentor for Semi-supervised 3D Object Detection	Dec 19, 2022	3D Object DetectionKnowledge Distillation	CodeCode Available	1
Lightweight integration of 3D features to improve 2D image segmentation	Dec 16, 2022	Image SegmentationScene Understanding	CodeCode Available	0
Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation	Dec 13, 2022	3D Semantic SegmentationScene Understanding	—Unverified	0
Cross-Domain Synthetic-to-Real In-the-Wild Depth and Normal Estimation for 3D Scene Understanding	Dec 9, 2022	Autonomous DrivingDepth Estimation	—Unverified	0
Towards Holistic Surgical Scene Understanding	Dec 8, 2022	Action RecognitionAtomic action recognition	CodeCode Available	1
LWSIS: LiDAR-guided Weakly Supervised Instance Segmentation for Autonomous Driving	Dec 7, 2022	Autonomous DrivingInstance Segmentation	CodeCode Available	1
Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data	Dec 7, 2022	Scene UnderstandingSegmentation	—Unverified	0
Framework for 2D Ad placements in LinearTV	Dec 5, 2022	Occlusion HandlingScene Understanding	—Unverified	0

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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