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
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation	Sep 20, 2021	DecoderPrediction	CodeCode Available	1
AVSegFormer: Audio-Visual Segmentation with Transformer	Jul 3, 2023	DecoderScene Understanding	CodeCode Available	1
EndoChat: Grounded Multimodal Large Language Model for Endoscopic Surgery	Jan 20, 2025	Language ModelingLanguage Modelling	CodeCode Available	1
Estimating Generic 3D Room Structures from 2D Annotations	Jun 15, 2023	Scene Understanding	CodeCode Available	1
BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving Environments	Sep 22, 2020	Domain AdaptationScene Understanding	CodeCode Available	1
Segmenting Known Objects and Unseen Unknowns without Prior Knowledge	Sep 12, 2022	Instance SegmentationObject Detection	CodeCode Available	1
Egocentric Scene Understanding via Multimodal Spatial Rectifier	Jul 14, 2022	Scene UnderstandingSurface Normal Estimation	CodeCode Available	1
Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding	Nov 29, 2024	3D geometry3DGS	CodeCode Available	1
ECLAIR: A High-Fidelity Aerial LiDAR Dataset for Semantic Segmentation	Apr 16, 2024	3D Semantic SegmentationManagement	CodeCode Available	1
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models	May 15, 2023	3D Object DetectionImage Captioning	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