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 261–270 of 1723 papers

Title	Date	Tasks	Status	Hype
From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object Detection	Jul 30, 2021	3D Object Detectionobject-detection	CodeCode Available	1
Image Segmentation Using Deep Learning: A Survey	Jan 15, 2020	DecoderDeep Learning	CodeCode Available	1
Explainable Object-induced Action Decision for Autonomous Vehicles	Mar 20, 2020	Autonomous DrivingAutonomous Vehicles	CodeCode Available	1
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis	Mar 9, 2021	3d scene graph generationgraph construction	CodeCode Available	1
Event-aided Semantic Scene Completion	Feb 4, 2025	Autonomous DrivingScene Understanding	CodeCode Available	1
Estimating Generic 3D Room Structures from 2D Annotations	Jun 15, 2023	Scene Understanding	CodeCode Available	1
Event-based Motion Segmentation with Spatio-Temporal Graph Cuts	Dec 16, 2020	Motion SegmentationScene Understanding	CodeCode Available	1
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts	Dec 16, 2020	3D Semantic SegmentationInstance Segmentation	CodeCode Available	1
A Two-Stage Masked Autoencoder Based Network for Indoor Depth Completion	Jun 14, 2024	3D ReconstructionAutonomous Driving	CodeCode Available	1
AirObject: A Temporally Evolving Graph Embedding for Object Identification	Nov 30, 2021	Graph AttentionGraph Embedding	CodeCode Available	1

Show:10 25 50

← PrevPage 27 of 173Next →

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