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 811–820 of 1723 papers

Title	Date	Tasks	Status	Hype
A Review of Panoptic Segmentation for Mobile Mapping Point Clouds	Apr 27, 2023	Instance SegmentationPanoptic Segmentation	CodeCode Available	1
Compositional 3D Human-Object Neural Animation	Apr 27, 2023	Human-Object Interaction DetectionNeRF	—Unverified	0
ZRG: A Dataset for Multimodal 3D Residential Rooftop Understanding	Apr 26, 2023	Scene Understanding	—Unverified	0
RGB-D Indiscernible Object Counting in Underwater Scenes	Apr 23, 2023	BenchmarkingDepth Estimation	CodeCode Available	1
Knowledge Distillation from 3D to Bird's-Eye-View for LiDAR Semantic Segmentation	Apr 22, 2023	Autonomous DrivingKnowledge Distillation	CodeCode Available	1
Advances in Deep Concealed Scene Understanding	Apr 21, 2023	Scene UnderstandingSemantic Segmentation	CodeCode Available	1
Factored Neural Representation for Scene Understanding	Apr 21, 2023	Novel View SynthesisObject	—Unverified	0
RS2G: Data-Driven Scene-Graph Extraction and Embedding for Robust Autonomous Perception and Scenario Understanding	Apr 17, 2023	Autonomous VehiclesGraph Learning	CodeCode Available	1
360^ High-Resolution Depth Estimation via Uncertainty-aware Structural Knowledge Transfer	Apr 17, 2023	Depth EstimationMonocular Depth Estimation	—Unverified	0
Learning How To Robustly Estimate Camera Pose in Endoscopic Videos	Apr 17, 2023	3D ReconstructionCamera Pose Estimation	CodeCode Available	1

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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