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

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Showing 1431–1440 of 1723 papers

Title	Date	Tasks	Status
U4D: Unsupervised 4D Dynamic Scene Understanding	Jul 23, 2019	3D Pose EstimationInstance Segmentation	—Unverified
Temporally Consistent Horizon Lines	Jul 23, 2019	3D ReconstructionAutonomous Vehicles	CodeCode Available
Structure-Aware Residual Pyramid Network for Monocular Depth Estimation	Jul 13, 2019	DecoderDepth Estimation	CodeCode Available
Preferences Prediction using a Gallery of Mobile Device based on Scene Recognition and Object Detection	Jul 10, 2019	Face Recognitionobject-detection	CodeCode Available
CaDIS: Cataract Dataset for Image Segmentation	Jun 27, 2019	2D Semantic Segmentation task 1 (8 classes)2D Semantic Segmentation task 2 (17 classes)	—Unverified
Loss Switching Fusion with Similarity Search for Video Classification	Jun 27, 2019	ClassificationClustering	CodeCode Available
Active Scene Understanding via Online Semantic Reconstruction	Jun 18, 2019	Scene ParsingScene Understanding	—Unverified
Semi-Supervised Semantic Mapping through Label Propagation with Semantic Texture Meshes	Jun 17, 2019	Scene UnderstandingSemantic Segmentation	—Unverified
Image Captioning with Integrated Bottom-Up and Multi-level Residual Top-Down Attention for Game Scene Understanding	Jun 16, 2019	Caption GenerationImage Captioning	—Unverified
RailSem19: A Dataset for Semantic Rail Scene Understanding	Jun 16, 2019	Scene UnderstandingSemantic Segmentation	—Unverified

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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