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 271–280 of 1723 papers

Title	Date	Tasks	Status	Hype
Uni-3D: A Universal Model for Panoptic 3D Scene Reconstruction	Jan 1, 2023	3D Scene ReconstructionImage Segmentation	CodeCode Available	1
PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation	Jan 1, 2023	ObjectScene Understanding	CodeCode Available	1
PointVST: Self-Supervised Pre-training for 3D Point Clouds via View-Specific Point-to-Image Translation	Dec 29, 2022	Contrastive LearningImage Generation	CodeCode Available	1
Learning Object-level Point Augmentor for Semi-supervised 3D Object Detection	Dec 19, 2022	3D Object DetectionKnowledge Distillation	CodeCode Available	1
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
Towards Scene Understanding for Autonomous Operations on Airport Aprons	Dec 4, 2022	Autonomous DrivingBenchmarking	CodeCode Available	1
Language-Assisted 3D Feature Learning for Semantic Scene Understanding	Nov 25, 2022	DescriptiveInstance Segmentation	CodeCode Available	1
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection	Nov 17, 2022	3D Object DetectionDepth Estimation	CodeCode Available	1
RGB-T Semantic Segmentation with Location, Activation, and Sharpening	Oct 26, 2022	DecoderScene Understanding	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