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 691–700 of 1723 papers

Title	Date	Tasks	Status	Score
Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks	Apr 22, 2021	RetrievalScene Recognition	CodeCode Available	5
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation	Apr 12, 2018	Optical Flow EstimationScene Flow Estimation	CodeCode Available	5
Fine-Grained is Too Coarse: A Novel Data-Centric Approach for Efficient Scene Graph Generation	May 30, 2023	Graph GenerationImage Generation	CodeCode Available	5
ASI-Seg: Audio-Driven Surgical Instrument Segmentation with Surgeon Intention Understanding	Jul 28, 2024	Contrastive LearningIntention-oriented Segmentation	CodeCode Available	5
Matterport3D: Learning from RGB-D Data in Indoor Environments	Sep 18, 2017	General ClassificationScene Understanding	CodeCode Available	5
Placental Vessel Segmentation and Registration in Fetoscopy: Literature Review and MICCAI FetReg2021 Challenge Findings	Jun 24, 2022	Scene UnderstandingSemantic Segmentation	CodeCode Available	5
Learning from Videos for 3D World: Enhancing MLLMs with 3D Vision Geometry Priors	May 30, 2025	3D geometryLarge Language Model	CodeCode Available	5
Learning Monocular Depth by Distilling Cross-domain Stereo Networks	Aug 20, 2018	Autonomous DrivingDepth Estimation	CodeCode Available	5
Learning Panoptic Segmentation from Instance Contours	Oct 16, 2020	ClusteringInstance Segmentation	CodeCode Available	5
Language-based Colorization of Scene Sketches	Nov 17, 2019	ColorizationImage Generation	CodeCode Available	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