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 221–230 of 1723 papers

Title	Date	Tasks	Status	Hype
Learning How To Robustly Estimate Camera Pose in Endoscopic Videos	Apr 17, 2023	3D ReconstructionCamera Pose Estimation	CodeCode Available	1
Learning Human-Object Interaction Detection using Interaction Points	Mar 31, 2020	Human-Object Interaction DetectionKeypoint Detection	CodeCode Available	1
Explainable Object-induced Action Decision for Autonomous Vehicles	Mar 20, 2020	Autonomous DrivingAutonomous Vehicles	CodeCode Available	1
Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation	Jul 15, 2025	Large Language ModelScene Understanding	CodeCode Available	1
Learning Visual Commonsense for Robust Scene Graph Generation	Jun 17, 2020	Graph GenerationScene Graph Generation	CodeCode Available	1
LED: Light Enhanced Depth Estimation at Night	Sep 12, 2024	Autonomous DrivingDecoder	CodeCode Available	1
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild	Jul 23, 2020	Few-Shot Object DetectionMeta-Learning	CodeCode Available	1
All-Day Multi-Camera Multi-Target Tracking	Jan 1, 2025	AllMamba	CodeCode Available	1
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering	Jun 4, 2021	Meta-LearningScene Understanding	CodeCode Available	1
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation	Oct 30, 2020	Instance SegmentationPanoptic Segmentation	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