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 941–950 of 1723 papers

Title	Date	Tasks	Status	Hype
A Review on Visual-SLAM: Advancements from Geometric Modelling to Learning-based Semantic Scene Understanding	Sep 12, 2022	Scene Understanding	—Unverified	0
Segmenting Known Objects and Unseen Unknowns without Prior Knowledge	Sep 12, 2022	Instance SegmentationObject Detection	CodeCode Available	1
Leveraging Large (Visual) Language Models for Robot 3D Scene Understanding	Sep 12, 2022	Common Sense ReasoningScene Classification	CodeCode Available	1
MassMIND: Massachusetts Maritime INfrared Dataset	Sep 9, 2022	Instance SegmentationScene Understanding	CodeCode Available	1
Sequential Cross Attention Based Multi-task Learning	Sep 6, 2022	Multi-Task LearningScene Understanding	CodeCode Available	0
SemSegDepth: A Combined Model for Semantic Segmentation and Depth Completion	Sep 1, 2022	Depth CompletionScene Understanding	CodeCode Available	1
Neuromorphic Visual Scene Understanding with Resonator Networks	Aug 26, 2022	Scene UnderstandingTranslation	—Unverified	0
Learning in Audio-visual Context: A Review, Analysis, and New Perspective	Aug 20, 2022	audio-visual learningScene Understanding	—Unverified	0
Safety Assessment for Autonomous Systems' Perception Capabilities	Aug 17, 2022	Decision MakingScene Understanding	—Unverified	0
Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point Supervision	Aug 10, 2022	3D Instance SegmentationInstance Segmentation	CodeCode Available	0

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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