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 1491–1500 of 1723 papers

Title	Date	Tasks	Status
Predicting Deeper into the Future of Semantic Segmentation	Mar 22, 2017	AttributeAutonomous Driving	CodeCode Available
Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape Data	Jul 14, 2024	3D Object Detection3D Semantic Segmentation	CodeCode Available
Shape Anchor Guided Holistic Indoor Scene Understanding	Sep 20, 2023	3D Object Detectionobject-detection	CodeCode Available
Unsupervised Foggy Scene Understanding via Self Spatial-Temporal Label Diffusion	Jun 10, 2022	Autonomous DrivingDomain Adaptation	CodeCode Available
Improving Object Detection for Time-Lapse Imagery Using Temporal Features in Wildlife Monitoring	Dec 20, 2024	Objectobject-detection	CodeCode Available
OST-Bench: Evaluating the Capabilities of MLLMs in Online Spatio-temporal Scene Understanding	Jul 10, 2025	Scene UnderstandingSpatial Reasoning	CodeCode Available
OpenOcc: Open Vocabulary 3D Scene Reconstruction via Occupancy Representation	Mar 18, 2024	3D Reconstruction3D Scene Reconstruction	CodeCode Available
Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic Conditions	Dec 30, 2018	Autonomous DrivingImage Segmentation	CodeCode Available
On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption	Sep 2, 2020	Scene UnderstandingSegmentation	CodeCode Available
Instance-Warp: Saliency Guided Image Warping for Unsupervised Domain Adaptation	Mar 19, 2024	Domain AdaptationObject	CodeCode Available

Show:10 25 50

← PrevPage 150 of 173Next →

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