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Scene Parsing

Scene parsing is to segment and parse an image into different image regions associated with semantic categories, such as sky, road, person, and bed. MIT Description

Papers

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Showing 191–199 of 199 papers

Title	Date	Tasks	Status	Hype
Semantic Segmentation via Structured Patch Prediction, Context CRF and Guidance CRF	Jul 1, 2017	Image SegmentationScene Parsing	CodeCode Available	0
Dual-Glance Model for Deciphering Social Relationships	Aug 2, 2017	modelobject-detection	CodeCode Available	0
DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map	May 13, 2018	Autonomous DrivingCamera Pose Estimation	CodeCode Available	0
Semantic Understanding of Scenes through the ADE20K Dataset	Aug 18, 2016	Scene ParsingSegmentation	CodeCode Available	0
SalientDSO: Bringing Attention to Direct Sparse Odometry	Feb 28, 2018	feature selectionScene Parsing	CodeCode Available	0
Adaptive Pyramid Context Network for Semantic Segmentation	Jun 1, 2019	Scene ParsingSegmentation	CodeCode Available	0
Boosting Real-Time Driving Scene Parsing with Shared Semantics	Sep 16, 2019	Autonomous DrivingScene Parsing	CodeCode Available	0
Complete 3D Scene Parsing from an RGBD Image	Oct 25, 2017	DiversityRetrieval	CodeCode Available	0
SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications	Jul 25, 2019	Objectobject-detection	CodeCode Available	0

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All datasets PGDP5K Cityscapes test

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PGDPNet	Total Accuracy	84.7	—	Unverified
2	Inter-GPS	Total Accuracy	27.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VCD No Coarse	mIoU	82.3	—	Unverified