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 1411–1420 of 1723 papers

Title	Date	Tasks	Status	Hype
Improving Social Awareness Through DANTE: A Deep Affinity Network for Clustering Conversational Interactants	Jul 24, 2019	ClusteringGraph Clustering	CodeCode Available	0
SDNet: Semantically Guided Depth Estimation Network	Jul 24, 2019	Autonomous VehiclesDepth Estimation	—Unverified	0
U4D: Unsupervised 4D Dynamic Scene Understanding	Jul 23, 2019	3D Pose EstimationInstance Segmentation	—Unverified	0
Temporally Consistent Horizon Lines	Jul 23, 2019	3D ReconstructionAutonomous Vehicles	CodeCode Available	0
M3D-RPN: Monocular 3D Region Proposal Network for Object Detection	Jul 13, 2019	3D Object Detection3D Object Detection From Monocular Images	CodeCode Available	1
Structure-Aware Residual Pyramid Network for Monocular Depth Estimation	Jul 13, 2019	DecoderDepth Estimation	CodeCode Available	0
Preferences Prediction using a Gallery of Mobile Device based on Scene Recognition and Object Detection	Jul 10, 2019	Face Recognitionobject-detection	CodeCode Available	0
From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network	Jul 8, 2019	3D Object DetectionObject	CodeCode Available	1
CaDIS: Cataract Dataset for Image Segmentation	Jun 27, 2019	2D Semantic Segmentation task 1 (8 classes)2D Semantic Segmentation task 2 (17 classes)	—Unverified	0
Loss Switching Fusion with Similarity Search for Video Classification	Jun 27, 2019	ClassificationClustering	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