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 1371–1380 of 1723 papers

Title	Date	Tasks	Status	Hype
Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations	Dec 1, 2019	Scene Understanding	CodeCode Available	0
TextSLAM: Visual SLAM with Planar Text Features	Nov 26, 2019	Object SLAMScene Understanding	CodeCode Available	1
Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN	Nov 20, 2019	2kGenerative Adversarial Network	CodeCode Available	1
Language-based Colorization of Scene Sketches	Nov 17, 2019	ColorizationImage Generation	CodeCode Available	0
Knowledge Distillation for Incremental Learning in Semantic Segmentation	Nov 8, 2019	image-classificationImage Classification	—Unverified	0
Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image	Nov 8, 2019	Scene Understanding	—Unverified	0
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames	Nov 1, 2019	Autonomous NavigationGPU	CodeCode Available	1
PT-ResNet: Perspective Transformation-Based Residual Network for Semantic Road Image Segmentation	Oct 29, 2019	Image Segmentationroad scene understanding	—Unverified	0
Addressing the Sim2Real Gap in Robotic 3D Object Classification	Oct 28, 2019	3D Object ClassificationClassification	—Unverified	0
Leveraging Auxiliary Text for Deep Recognition of Unseen Visual Relationships	Oct 27, 2019	Graph GenerationRelationship Detection	—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