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 271–280 of 1723 papers

Title	Date	Tasks	Status	Hype	Score
Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views	Nov 13, 2021	ObjectScene Understanding	CodeCode Available	1	5
Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks	Feb 17, 2023	DeblurringDeep Learning	CodeCode Available	1	5
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation	Feb 7, 2023	6D Pose Estimation6D Pose Estimation using RGB	CodeCode Available	1	5
Learning Object-level Point Augmentor for Semi-supervised 3D Object Detection	Dec 19, 2022	3D Object DetectionKnowledge Distillation	CodeCode Available	1	5
DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objects	Mar 27, 2018	General ClassificationObject	CodeCode Available	1	5
Affordance Transfer Learning for Human-Object Interaction Detection	Apr 7, 2021	Affordance DetectionAffordance Recognition	CodeCode Available	1	5
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection	Dec 5, 2023	3D Object DetectionDenoising	CodeCode Available	1	5
Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition	Aug 10, 2021	Action ClassificationAction Recognition	CodeCode Available	1	5
LiON: Learning Point-wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data	Sep 19, 2023	Anomaly DetectionAutonomous Driving	CodeCode Available	1	5
Leveraging Large (Visual) Language Models for Robot 3D Scene Understanding	Sep 12, 2022	Common Sense ReasoningScene Classification	CodeCode Available	1	5

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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