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 291–300 of 1723 papers

Title	Date	Tasks	Status	Hype	Score
Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks	Feb 17, 2023	DeblurringDeep Learning	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
Complementary Random Masking for RGB-Thermal Semantic Segmentation	Mar 30, 2023	Scene UnderstandingSemantic Segmentation	CodeCode Available	1	5
Detecting Human-Object Interaction via Fabricated Compositional Learning	Mar 15, 2021	Affordance RecognitionHuman-Object Interaction Detection	CodeCode Available	1	5
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation	Feb 7, 2023	6D Pose Estimation6D Pose Estimation using RGB	CodeCode Available	1	5
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection	Dec 5, 2023	3D Object DetectionDenoising	CodeCode Available	1	5
DIP: Unsupervised Dense In-Context Post-training of Visual Representations	Jun 23, 2025	GPUMeta-Learning	CodeCode Available	1	5
DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection	Dec 25, 2023	3D Object Detectionobject-detection	CodeCode Available	1	5
A Survey of World Models for Autonomous Driving	Jan 20, 2025	Anomaly DetectionAutonomous Driving	CodeCode Available	1	5
Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality	Mar 11, 2021	Scene UnderstandingTime Series	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