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 431–440 of 1723 papers

Title	Date	Tasks	Status	Hype
0-MMS: Zero-Shot Multi-Motion Segmentation With A Monocular Event Camera	Jun 11, 2020	Motion CompensationMotion Segmentation	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
VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban Environments	Apr 27, 2020	Autonomous DrivingAutonomous Vehicles	CodeCode Available	1
Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding	Apr 16, 2020	Human Part SegmentationPanoptic Segmentation	CodeCode Available	1
Self-Supervised Scene De-occlusion	Apr 6, 2020	Image ManipulationScene Understanding	CodeCode Available	1
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation	Apr 3, 2020	3D Instance SegmentationClustering	CodeCode Available	1
Context Prior for Scene Segmentation	Apr 3, 2020	Scene SegmentationScene Understanding	CodeCode Available	1
Semantic Segmentation of Underwater Imagery: Dataset and Benchmark	Apr 2, 2020	Computational EfficiencyDecoder	CodeCode Available	1
Occlusion-Aware Depth Estimation with Adaptive Normal Constraints	Apr 2, 2020	3D ReconstructionDepth Estimation	CodeCode Available	1
Distilled Semantics for Comprehensive Scene Understanding from Videos	Mar 31, 2020	Depth EstimationKnowledge Distillation	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