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 381–390 of 1723 papers

Title	Date	Tasks	Status	Hype	Score
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
Joint 2D-3D-Semantic Data for Indoor Scene Understanding	Feb 3, 2017	Scene Understanding	CodeCode Available	1	5
Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation	Jul 23, 2021	Domain AdaptationFew-Shot Learning	CodeCode Available	1	5
DPF: Learning Dense Prediction Fields with Weak Supervision	Mar 29, 2023	Intrinsic Image DecompositionPrediction	CodeCode Available	1	5
Multi-View Radar Semantic Segmentation	Mar 30, 2021	Autonomous Drivingobject-detection	CodeCode Available	1	5
DTCLMapper: Dual Temporal Consistent Learning for Vectorized HD Map Construction	May 9, 2024	Contrastive LearningScene Understanding	CodeCode Available	1	5
Bidirectional Projection Network for Cross Dimension Scene Understanding	Mar 26, 2021	2D Semantic Segmentation3D Semantic Segmentation	CodeCode Available	1	5
Language Embedded 3D Gaussians for Open-Vocabulary Scene Understanding	Nov 30, 2023	GPUInductive Bias	CodeCode Available	1	5
Learning and Reasoning with the Graph Structure Representation in Robotic Surgery	Jul 7, 2020	Edge ClassificationGraph Generation	CodeCode Available	1	5
Multi-view 3D Object Reconstruction and Uncertainty Modelling with Neural Shape Prior	Jun 17, 2023	3D Object ReconstructionObject	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