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 251–260 of 1723 papers

Title	Date	Tasks	Status	Hype	Score
CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving	Jul 26, 2022	3D Semantic SegmentationAutonomous Driving	CodeCode Available	1	5
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing	Nov 24, 2021	AttributeScene Understanding	CodeCode Available	1	5
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation	Oct 30, 2020	Instance SegmentationPanoptic Segmentation	CodeCode Available	1	5
Deep learning for radar data exploitation of autonomous vehicle	Mar 15, 2022	Autonomous DrivingDeep Learning	CodeCode Available	1	5
Lane Graph Estimation for Scene Understanding in Urban Driving	May 1, 2021	Autonomous DrivingAutonomous Vehicles	CodeCode Available	1	5
Language-Assisted 3D Feature Learning for Semantic Scene Understanding	Nov 25, 2022	DescriptiveInstance Segmentation	CodeCode Available	1	5
Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups	Jan 12, 2021	Scene Understanding	CodeCode Available	1	5
DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objects	Mar 27, 2018	General ClassificationObject	CodeCode Available	1	5
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection	Dec 5, 2023	3D Object DetectionDenoising	CodeCode Available	1	5
AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans	Mar 24, 2024	3D Instance SegmentationInstance Segmentation	CodeCode Available	1	5

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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