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	Hype
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments	Nov 26, 2018	Autonomous NavigationDomain Adaptation	CodeCode Available	0
A pooling based scene text proposal technique for scene text reading in the wild	Nov 25, 2018	Scene UnderstandingText Spotting	—Unverified	0
Artificial Color Constancy via GoogLeNet with Angular Loss Function	Nov 20, 2018	Color ConstancyObject Recognition	CodeCode Available	0
Sensor Adaptation for Improved Semantic Segmentation of Overhead Imagery	Nov 20, 2018	Scene UnderstandingSegmentation	—Unverified	0
Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning	Nov 6, 2018	Scene Understanding	—Unverified	0
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation	Oct 31, 2018	3D Object DetectionCamera Pose Estimation	CodeCode Available	0
UAVid: A Semantic Segmentation Dataset for UAV Imagery	Oct 24, 2018	4kAutonomous Driving	CodeCode Available	0
Multi-Task Learning as Multi-Objective Optimization	Oct 10, 2018	Depth EstimationGeneral Classification	CodeCode Available	2
Diagnostics in Semantic Segmentation	Sep 27, 2018	Image SegmentationScene Understanding	—Unverified	0
Semantic and structural image segmentation for prosthetic vision	Sep 25, 2018	Image SegmentationObject	—Unverified	0

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