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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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 101–110 of 199 papers

Title	Date	Tasks	Status	Hype
Unlocking the Full Potential of Small Data with Diverse Supervision	Nov 29, 2019	Few-Shot LearningRepresentation Learning	CodeCode Available	0
Differentiating Features for Scene Segmentation Based on Dedicated Attention Mechanisms	Nov 19, 2019	PositionScene Parsing	—Unverified	0
Adaptive Context Network for Scene Parsing	Nov 5, 2019	Scene ParsingSemantic Segmentation	—Unverified	0
Cooperative Semantic Segmentation and Image Restoration in Adverse Environmental Conditions	Nov 2, 2019	Image RestorationScene Parsing	—Unverified	0
Segmenting Ships in Satellite Imagery With Squeeze and Excitation U-Net	Oct 27, 2019	Scene ParsingSegmentation	—Unverified	0
When Segmentation is Not Enough: Rectifying Visual-Volume Discordance Through Multisensor Depth-Refined Semantic Segmentation for Food Intake Tracking in Long-Term Care	Oct 24, 2019	DecoderGeneral Classification	—Unverified	0
Deep Multiphase Level Set for Scene Parsing	Oct 8, 2019	Image SegmentationScene Parsing	—Unverified	0
Dynamic Multi-Scale Filters for Semantic Segmentation	Oct 1, 2019	Scene ParsingSegmentation	CodeCode Available	0
What's There in the Dark	Sep 24, 2019	Scene ParsingSemantic Segmentation	CodeCode Available	0
What's There in the Dark	Sep 24, 2019	Autonomous DrivingScene Parsing	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