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 711–720 of 1723 papers

Title	Date	Tasks	Status	Score
Implicit Background Estimation for Semantic Segmentation	May 23, 2019	Scene UnderstandingSegmentation	CodeCode Available	5
Language-based Colorization of Scene Sketches	Nov 17, 2019	ColorizationImage Generation	CodeCode Available	5
Knowledge-Guided Object Discovery with Acquired Deep Impressions	Mar 19, 2021	ObjectObject Discovery	CodeCode Available	5
InfoNorm: Mutual Information Shaping of Normals for Sparse-View Reconstruction	Jul 17, 2024	Scene UnderstandingSurface Reconstruction	CodeCode Available	5
Facing the Void: Overcoming Missing Data in Multi-View Imagery	May 21, 2022	Classificationimage-classification	CodeCode Available	5
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields	Apr 1, 2019	3D Instance Segmentation3D Semantic Instance Segmentation	CodeCode Available	5
Label-Attention Transformer with Geometrically Coherent Objects for Image Captioning	Sep 16, 2021	DecoderImage Captioning	CodeCode Available	5
Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild	Aug 25, 2024	Contrastive LearningFine-Grained Image Classification	CodeCode Available	5
Adversarial Attacks on Monocular Pose Estimation	Jul 14, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
Joint stereo 3D object detection and implicit surface reconstruction	Nov 25, 2021	3D Object DetectionHallucination	CodeCode Available	5

Show:10 25 50

← PrevPage 72 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