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 201–210 of 1723 papers

Title	Date	Tasks	Status	Hype
Simple Image-level Classification Improves Open-vocabulary Object Detection	Dec 16, 2023	Knowledge DistillationObject	CodeCode Available	1
Transformers in Unsupervised Structure-from-Motion	Dec 16, 2023	Decision Makingimage-classification	CodeCode Available	1
Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments	Dec 14, 2023	3D ReconstructionDecoder	CodeCode Available	1
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection	Dec 5, 2023	3D Object DetectionDenoising	CodeCode Available	1
Language Embedded 3D Gaussians for Open-Vocabulary Scene Understanding	Nov 30, 2023	GPUInductive Bias	CodeCode Available	1
SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Scene Segmentation	Nov 29, 2023	Scene SegmentationScene Understanding	CodeCode Available	1
Panoptic Video Scene Graph Generation	Nov 28, 2023	Graph GenerationPanoptic Scene Graph Generation	CodeCode Available	1
Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense Knowledge	Nov 21, 2023	Large Language ModelMultimodal Deep Learning	CodeCode Available	1
TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding	Nov 6, 2023	Boundary DetectionDepth Estimation	CodeCode Available	1
NeuSyRE: Neuro-Symbolic Visual Understanding and Reasoning Framework based on Scene Graph Enrichment	Nov 5, 2023	Caption GenerationCommon Sense Reasoning	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