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

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Showing 221–230 of 1723 papers

Title	Date	Tasks	Status	Hype
Understanding Dark Scenes by Contrasting Multi-Modal Observations	Aug 23, 2023	Contrastive LearningScene Understanding	CodeCode Available	1
Multi-stage Factorized Spatio-Temporal Representation for RGB-D Action and Gesture Recognition	Aug 23, 2023	Gesture RecognitionScene Understanding	CodeCode Available	1
SUMMIT: Source-Free Adaptation of Uni-Modal Models to Multi-Modal Targets	Aug 23, 2023	Autonomous NavigationPseudo Label	CodeCode Available	1
Vision Relation Transformer for Unbiased Scene Graph Generation	Aug 18, 2023	DecoderGraph Generation	CodeCode Available	1
FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous Driving	Aug 14, 2023	Autonomous DrivingOptical Flow Estimation	CodeCode Available	1
OAFuser: Towards Omni-Aperture Fusion for Light Field Semantic Segmentation	Jul 28, 2023	Autonomous DrivingScene Understanding	CodeCode Available	1
Human-centric Scene Understanding for 3D Large-scale Scenarios	Jul 26, 2023	Action RecognitionScene Understanding	CodeCode Available	1
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation	Jul 19, 2023	Representation LearningScene Understanding	CodeCode Available	1
Open Scene Understanding: Grounded Situation Recognition Meets Segment Anything for Helping People with Visual Impairments	Jul 15, 2023	DecoderGrounded Situation Recognition	CodeCode Available	1
The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset	Jul 12, 2023	Scene Understanding	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