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 581–590 of 1723 papers

Title	Date	Tasks	Status	Score
Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance Voting	Jul 6, 2021	3D Object DetectionAutonomous Driving	CodeCode Available	5
Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera	Jan 9, 2019	3D Reconstruction3D Scene Reconstruction	CodeCode Available	5
Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer	Apr 3, 2019	Deep Reinforcement LearningReinforcement Learning	CodeCode Available	5
Multi-task Planar Reconstruction with Feature Warping Guidance	Nov 25, 2023	3D ReconstructionInstance Segmentation	CodeCode Available	5
Deeply Supervised Multimodal Attentional Translation Embeddings for Visual Relationship Detection	Feb 15, 2019	Relationship DetectionScene Understanding	CodeCode Available	5
Multi-Resolution Multi-Modal Sensor Fusion For Remote Sensing Data With Label Uncertainty	May 2, 2018	Scene UnderstandingSensor Fusion	CodeCode Available	5
ShelfNet for Fast Semantic Segmentation	Nov 27, 2018	Autonomous DrivingDecoder	CodeCode Available	5
Deep Learning based Switching Filter for Impulsive Noise Removal in Color Images	Dec 3, 2019	DenoisingImage Denoising	CodeCode Available	5
BACS: Background Aware Continual Semantic Segmentation	Apr 19, 2024	Autonomous DrivingContinual Learning	CodeCode Available	5
Deep Learning--Based Scene Simplification for Bionic Vision	Jan 30, 2021	Deep LearningDepth Estimation	CodeCode Available	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