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 451–460 of 1723 papers

Title	Date	Tasks	Status	Hype	Score
NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models	Mar 17, 2025	Question AnsweringScene Understanding	CodeCode Available	1	5
DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization	Apr 30, 2023	DecoderNeRF	CodeCode Available	1	5
OAFuser: Towards Omni-Aperture Fusion for Light Field Semantic Segmentation	Jul 28, 2023	Autonomous DrivingScene Understanding	CodeCode Available	1	5
TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding	Nov 6, 2023	Boundary DetectionDepth Estimation	CodeCode Available	1	5
Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving	May 13, 2025	3D visual groundingAutonomous Driving	CodeCode Available	1	5
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks	Mar 28, 2020	3D Medical Imaging SegmentationAction Recognition	CodeCode Available	1	5
From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network	Jul 8, 2019	3D Object DetectionObject	CodeCode Available	1	5
Occlusion-Aware Depth Estimation with Adaptive Normal Constraints	Apr 2, 2020	3D ReconstructionDepth Estimation	CodeCode Available	1	5
Egocentric Scene Understanding via Multimodal Spatial Rectifier	Jul 14, 2022	Scene UnderstandingSurface Normal Estimation	CodeCode Available	1	5
Point Scene Understanding via Disentangled Instance Mesh Reconstruction	Mar 31, 2022	RetrievalScene Understanding	CodeCode Available	1	5

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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