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 1261–1270 of 1723 papers

Title	Date	Tasks	Status	Hype
Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds	Nov 2, 2020	Scene Understanding	—Unverified	0
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation	Oct 30, 2020	Instance SegmentationPanoptic Segmentation	CodeCode Available	1
Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model	Oct 25, 2020	Depth EstimationDepth Prediction	CodeCode Available	1
Axiom Learning and Belief Tracing for Transparent Decision Making in Robotics	Oct 20, 2020	Decision MakingLogical Reasoning	—Unverified	0
RADIATE: A Radar Dataset for Automotive Perception in Bad Weather	Oct 18, 2020	Autonomous DrivingBenchmarking	CodeCode Available	1
Unsupervised Foveal Vision Neural Networks with Top-Down Attention	Oct 18, 2020	ObjectObject Recognition	—Unverified	0
Learning Panoptic Segmentation from Instance Contours	Oct 16, 2020	ClusteringInstance Segmentation	CodeCode Available	0
DynaSLAM II: Tightly-Coupled Multi-Object Tracking and SLAM	Oct 15, 2020	Autonomous DrivingDecision Making	—Unverified	0
Constructing a Visual Relationship Authenticity Dataset	Oct 11, 2020	Relationship DetectionScene Understanding	CodeCode Available	0
Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer	Oct 9, 2020	Decoderimage-classification	—Unverified	0

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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