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 1291–1300 of 1723 papers

Title	Date	Tasks	Status	Hype
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene	Aug 11, 2020	Instance SegmentationPoint Cloud Segmentation	CodeCode Available	1
Polysemy Deciphering Network for Robust Human-Object Interaction Detection	Aug 7, 2020	Human-Object Interaction DetectionObject	CodeCode Available	1
Global Context Aware Convolutions for 3D Point Cloud Understanding	Aug 7, 2020	Point Cloud ClassificationRetrieval	—Unverified	0
Pose-based Modular Network for Human-Object Interaction Detection	Aug 5, 2020	Human-Object Interaction DetectionObject	CodeCode Available	1
Leveraging Acoustic Images for Effective Self-Supervised Audio Representation Learning	Aug 1, 2020	Cross-Modal RetrievalRepresentation Learning	CodeCode Available	0
Polysemy Deciphering Network for Human-Object Interaction Detection	Aug 1, 2020	Human-Object Interaction DetectionObject	CodeCode Available	1
Weakly Supervised 3D Object Detection from Point Clouds	Jul 28, 2020	3D Object DetectionKnowledge Distillation	CodeCode Available	1
Virtual Multi-view Fusion for 3D Semantic Segmentation	Jul 26, 2020	2D Semantic Segmentation3D Semantic Segmentation	CodeCode Available	1
OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets	Jul 25, 2020	FrictionInverse Rendering	—Unverified	0
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild	Jul 23, 2020	Few-Shot Object DetectionMeta-Learning	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