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 601–610 of 1723 papers

Title	Date	Tasks	Status	Score
Improving Social Awareness Through DANTE: A Deep Affinity Network for Clustering Conversational Interactants	Jul 24, 2019	ClusteringGraph Clustering	CodeCode Available	5
Auxiliary Tasks in Multi-task Learning	May 16, 2018	Depth EstimationMulti-Task Learning	CodeCode Available	5
Multi-Resolution Multi-Modal Sensor Fusion For Remote Sensing Data With Label Uncertainty	May 2, 2018	Scene UnderstandingSensor Fusion	CodeCode Available	5
Multi-task Planar Reconstruction with Feature Warping Guidance	Nov 25, 2023	3D ReconstructionInstance Segmentation	CodeCode Available	5
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification	Jul 25, 2019	Autonomous VehiclesClassification	CodeCode Available	5
DADA: Driver Attention Prediction in Driving Accident Scenarios	Dec 18, 2019	Driver Attention MonitoringPrediction	CodeCode Available	5
Cross-Modality Time-Variant Relation Learning for Generating Dynamic Scene Graphs	May 15, 2023	RelationScene Graph Generation	CodeCode Available	5
CrossModalityDiffusion: Multi-Modal Novel View Synthesis with Unified Intermediate Representation	Jan 16, 2025	Novel View SynthesisScene Understanding	CodeCode Available	5
MovSAM: A Single-image Moving Object Segmentation Framework Based on Deep Thinking	Apr 9, 2025	Autonomous DrivingLanguage Modeling	CodeCode Available	5
Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis	Mar 27, 2019	Generative Adversarial NetworkImage Generation	CodeCode Available	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