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 961–970 of 1723 papers

Title	Date	Tasks	Status	Hype
Neural Groundplans: Persistent Neural Scene Representations from a Single Image	Jul 22, 2022	DisentanglementInstance Segmentation	—Unverified	0
SeasoNet: A Seasonal Scene Classification, segmentation and Retrieval dataset for satellite Imagery over Germany	Jul 19, 2022	Image RetrievalRetrieval	—Unverified	0
Egocentric Scene Understanding via Multimodal Spatial Rectifier	Jul 14, 2022	Scene UnderstandingSurface Normal Estimation	CodeCode Available	1
Adversarial Attacks on Monocular Pose Estimation	Jul 14, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	0
Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments	Jul 10, 2022	Instance SegmentationPanoptic Segmentation	CodeCode Available	1
BlindSpotNet: Seeing Where We Cannot See	Jul 8, 2022	Depth EstimationMonocular Depth Estimation	—Unverified	0
MCTS with Refinement for Proposals Selection Games in Scene Understanding	Jul 7, 2022	Scene Understanding	CodeCode Available	1
Toward Explainable and Fine-Grained 3D Grounding through Referring Textual Phrases	Jul 5, 2022	ObjectRepresentation Learning	—Unverified	0
Distance Matters in Human-Object Interaction Detection	Jul 5, 2022	Human-Object Interaction DetectionObject	CodeCode Available	0
Scene-Aware Prompt for Multi-modal Dialogue Understanding and Generation	Jul 5, 2022	Dialogue GenerationDialogue Understanding	—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