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 841–850 of 1723 papers

Title	Date	Tasks	Status	Hype
Semantic segmentation of surgical hyperspectral images under geometric domain shifts	Mar 20, 2023	Organ SegmentationScene Segmentation	—Unverified	0
Constructing Metric-Semantic Maps using Floor Plan Priors for Long-Term Indoor Localization	Mar 20, 2023	3D Object DetectionIndoor Localization	CodeCode Available	1
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition	Mar 20, 2023	RetrievalScene Understanding	CodeCode Available	2
Content Adaptive Front End For Audio Classification	Mar 18, 2023	Audio ClassificationAudio Signal Processing	—Unverified	0
Efficient Computation Sharing for Multi-Task Visual Scene Understanding	Mar 16, 2023	Multi-Task LearningScene Understanding	CodeCode Available	0
Shifted-Windows Transformers for the Detection of Cerebral Aneurysms in Microsurgery	Mar 16, 2023	Scene Understanding	—Unverified	0
SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving	Mar 16, 2023	3D Object DetectionAutonomous Driving	CodeCode Available	3
PENet: A Joint Panoptic Edge Detection Network	Mar 15, 2023	Edge DetectionMulti-Task Learning	CodeCode Available	0
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection	Mar 14, 2023	3D Object DetectionDecoder	CodeCode Available	1
Generalized 3D Self-supervised Learning Framework via Prompted Foreground-Aware Feature Contrast	Mar 11, 2023	3D Semantic SegmentationContrastive Learning	—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