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 371–380 of 1723 papers

Title	Date	Tasks	Status	Hype	Score
Multi-view 3D Object Reconstruction and Uncertainty Modelling with Neural Shape Prior	Jun 17, 2023	3D Object ReconstructionObject	CodeCode Available	1	5
DTCLMapper: Dual Temporal Consistent Learning for Vectorized HD Map Construction	May 9, 2024	Contrastive LearningScene Understanding	CodeCode Available	1	5
Dense Audio-Visual Event Localization under Cross-Modal Consistency and Multi-Temporal Granularity Collaboration	Dec 17, 2024	audio-visual event localizationaudio-visual learning	CodeCode Available	1	5
RGB-D Indiscernible Object Counting in Underwater Scenes	Apr 23, 2023	BenchmarkingDepth Estimation	CodeCode Available	1	5
Multi-stage Factorized Spatio-Temporal Representation for RGB-D Action and Gesture Recognition	Aug 23, 2023	Gesture RecognitionScene Understanding	CodeCode Available	1	5
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP	Jan 12, 2023	3D Semantic SegmentationContrastive Learning	CodeCode Available	1	5
Comprehensive Visual Question Answering on Point Clouds through Compositional Scene Manipulation	Dec 22, 2021	Common Sense ReasoningQuestion Answering	CodeCode Available	1	5
Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks	Aug 17, 2021	3D Instance SegmentationInstance Segmentation	CodeCode Available	1	5
Multi-View Radar Semantic Segmentation	Mar 30, 2021	Autonomous Drivingobject-detection	CodeCode Available	1	5
NODIS: Neural Ordinary Differential Scene Understanding	Jan 14, 2020	AllGraph Generation	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