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 331–340 of 1723 papers

Title	Date	Tasks	Status	Hype
PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation	Dec 5, 2021	Depth-aware Video Panoptic SegmentationDepth Estimation	CodeCode Available	1
Behind the Curtain: Learning Occluded Shapes for 3D Object Detection	Dec 4, 2021	3D Object DetectionObject	CodeCode Available	1
AirObject: A Temporally Evolving Graph Embedding for Object Identification	Nov 30, 2021	Graph AttentionGraph Embedding	CodeCode Available	1
Instance-wise Occlusion and Depth Orders in Natural Scenes	Nov 29, 2021	Depth EstimationDepth Prediction	CodeCode Available	1
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing	Nov 24, 2021	AttributeScene Understanding	CodeCode Available	1
Grounded Situation Recognition with Transformers	Nov 19, 2021	DecoderGrounded Situation Recognition	CodeCode Available	1
ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data	Nov 17, 2021	3D Object Detectionobject-detection	CodeCode Available	1
Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views	Nov 13, 2021	ObjectScene Understanding	CodeCode Available	1
Panoptic 3D Scene Reconstruction From a Single RGB Image	Nov 3, 2021	2D Panoptic Segmentation3D Instance Segmentation	CodeCode Available	1
3DP3: 3D Scene Perception via Probabilistic Programming	Oct 30, 2021	ObjectPose Estimation	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