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	Score
RGB-D Indiscernible Object Counting in Underwater Scenes	Apr 23, 2023	BenchmarkingDepth Estimation	CodeCode Available	1	5
IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal Estimation	Dec 20, 2019	Disparity EstimationScene Understanding	CodeCode Available	1	5
DC-SAM: In-Context Segment Anything in Images and Videos via Dual Consistency	Apr 16, 2025	Few-Shot LearningInteractive Segmentation	CodeCode Available	1	5
DTCLMapper: Dual Temporal Consistent Learning for Vectorized HD Map Construction	May 9, 2024	Contrastive LearningScene Understanding	CodeCode Available	1	5
BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving Environments	Sep 22, 2020	Domain AdaptationScene Understanding	CodeCode Available	1	5
Lane Graph Estimation for Scene Understanding in Urban Driving	May 1, 2021	Autonomous DrivingAutonomous Vehicles	CodeCode Available	1	5
Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model	Mar 30, 2025	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding	Nov 29, 2024	3D geometry3DGS	CodeCode Available	1	5
Dynamic Graph Message Passing Networks	Aug 19, 2019	Image Classificationobject-detection	CodeCode Available	1	5
Group Contextual Encoding for 3D Point Clouds	Dec 1, 2020	Scene 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