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 631–640 of 1723 papers

Title	Date	Tasks	Status	Hype
DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection	Dec 25, 2023	3D Object Detectionobject-detection	CodeCode Available	1
WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural Environments	Dec 23, 2023	3D Semantic SegmentationDomain Adaptation	CodeCode Available	1
Pola4All: survey of polarimetric applications and an open-source toolkit to analyze polarization	Dec 22, 2023	3D ReconstructionDepth Estimation	CodeCode Available	1
BridgeNet: Comprehensive and Effective Feature Interactions via Bridge Feature for Multi-task Dense Predictions	Dec 21, 2023	DecoderMulti-Task Learning	—Unverified	0
Object Attribute Matters in Visual Question Answering	Dec 20, 2023	AttributeGraph Neural Network	CodeCode Available	0
AccidentGPT: Accident Analysis and Prevention from V2X Environmental Perception with Multi-modal Large Model	Dec 20, 2023	Autonomous DrivingScene Understanding	—Unverified	0
Language-Assisted 3D Scene Understanding	Dec 18, 2023	3D Object Detection3D Semantic Segmentation	—Unverified	0
Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance	Dec 17, 2023	3D Instance Segmentation3D Open-Vocabulary Instance Segmentation	CodeCode Available	1
Transformers in Unsupervised Structure-from-Motion	Dec 16, 2023	Decision Makingimage-classification	CodeCode Available	1
Simple Image-level Classification Improves Open-vocabulary Object Detection	Dec 16, 2023	Knowledge DistillationObject	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