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 421–430 of 1723 papers

Title	Date	Tasks	Status	Hype	Score
Microsoft COCO: Common Objects in Context	May 1, 2014	Instance SegmentationObject	CodeCode Available	1	5
Mitigating Trade-off: Stream and Query-guided Aggregation for Efficient and Effective 3D Occupancy Prediction	Mar 28, 2025	Autonomous DrivingScene Understanding	CodeCode Available	1	5
DTCLMapper: Dual Temporal Consistent Learning for Vectorized HD Map Construction	May 9, 2024	Contrastive LearningScene Understanding	CodeCode Available	1	5
DPF: Learning Dense Prediction Fields with Weak Supervision	Mar 29, 2023	Intrinsic Image DecompositionPrediction	CodeCode Available	1	5
Dynamic Graph Message Passing Networks	Aug 19, 2019	Image Classificationobject-detection	CodeCode Available	1	5
MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding	Oct 1, 2020	Deep Learningimage-classification	CodeCode Available	1	5
0-MMS: Zero-Shot Multi-Motion Segmentation With A Monocular Event Camera	Jun 11, 2020	Motion CompensationMotion Segmentation	CodeCode Available	1	5
STRAP: Structured Object Affordance Segmentation with Point Supervision	Apr 17, 2023	ObjectScene Understanding	CodeCode Available	1	5
Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense Knowledge	Nov 21, 2023	Large Language ModelMultimodal Deep Learning	CodeCode Available	1	5
Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance	Dec 17, 2023	3D Instance Segmentation3D Open-Vocabulary Instance 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