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 311–320 of 1723 papers

Title	Date	Tasks	Status	Hype
DAF-Net: A Dual-Branch Feature Decomposition Fusion Network with Domain Adaptive for Infrared and Visible Image Fusion	Sep 18, 2024	Infrared And Visible Image FusionScene Understanding	CodeCode Available	1
HOC-Search: Efficient CAD Model and Pose Retrieval from RGB-D Scans	Sep 12, 2023	3D Object Retrieval3D Scene Reconstruction	CodeCode Available	1
CAT-ViL: Co-Attention Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery	Jul 11, 2023	Question AnsweringScene Understanding	CodeCode Available	1
Human-centric Scene Understanding for 3D Large-scale Scenarios	Jul 26, 2023	Action RecognitionScene Understanding	CodeCode Available	1
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence	Jun 22, 2020	Deep LearningScene Understanding	CodeCode Available	1
IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous Driving	Jun 1, 2020	3D Object DetectionAutonomous Driving	CodeCode Available	1
Event-based Motion Segmentation with Spatio-Temporal Graph Cuts	Dec 16, 2020	Motion SegmentationScene Understanding	CodeCode Available	1
Image Masking for Robust Self-Supervised Monocular Depth Estimation	Oct 5, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1
A Survey of World Models for Autonomous Driving	Jan 20, 2025	Anomaly DetectionAutonomous Driving	CodeCode Available	1
Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality	Mar 11, 2021	Scene UnderstandingTime Series	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