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 1301–1310 of 1723 papers

Title	Date	Tasks	Status	Hype
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding	Jul 21, 2020	Point Cloud Pre-trainingRepresentation Learning	CodeCode Available	1
Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery	Jul 17, 2020	Deep LearningScene Understanding	—Unverified	0
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation	Jul 9, 2020	Scene Understanding	CodeCode Available	1
Learning and Reasoning with the Graph Structure Representation in Robotic Surgery	Jul 7, 2020	Edge ClassificationGraph Generation	CodeCode Available	1
JUMPS: Joints Upsampling Method for Pose Sequences	Jul 2, 2020	Action RecognitionPose Estimation	—Unverified	0
Analogical Image Translation for Fog Generation	Jun 28, 2020	Image-to-Image TranslationScene Understanding	—Unverified	0
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence	Jun 22, 2020	Deep LearningScene Understanding	CodeCode Available	1
Learning Visual Commonsense for Robust Scene Graph Generation	Jun 17, 2020	Graph GenerationScene Graph Generation	CodeCode Available	1
Exploiting the ConvLSTM: Human Action Recognition using Raw Depth Video-Based Recurrent Neural Networks	Jun 13, 2020	Action RecognitionObject Recognition	—Unverified	0
Benchmarking Unsupervised Object Representations for Video Sequences	Jun 12, 2020	BenchmarkingClustering	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