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 1071–1080 of 1723 papers

Title	Date	Tasks	Status
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding	Apr 4, 2023	Autonomous DrivingDomain Adaptation	CodeCode Available
Object-agnostic Affordance Categorization via Unsupervised Learning of Graph Embeddings	Mar 30, 2023	ObjectScene Understanding	—Unverified
OVeNet: Offset Vector Network for Semantic Segmentation	Mar 25, 2023	Optical Character Recognition (OCR)Scene Understanding	CodeCode Available
Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation	Mar 25, 2023	Domain AdaptationERP	—Unverified
Uni-Fusion: Universal Continuous Mapping	Mar 22, 2023	Scene Understanding	—Unverified
Semantic segmentation of surgical hyperspectral images under geometric domain shifts	Mar 20, 2023	Organ SegmentationScene Segmentation	—Unverified
Content Adaptive Front End For Audio Classification	Mar 18, 2023	Audio ClassificationAudio Signal Processing	—Unverified
Efficient Computation Sharing for Multi-Task Visual Scene Understanding	Mar 16, 2023	Multi-Task LearningScene Understanding	CodeCode Available
Shifted-Windows Transformers for the Detection of Cerebral Aneurysms in Microsurgery	Mar 16, 2023	Scene Understanding	—Unverified
PENet: A Joint Panoptic Edge Detection Network	Mar 15, 2023	Edge DetectionMulti-Task Learning	CodeCode Available

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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