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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 61–70 of 199 papers

Title	Date	Tasks	Status	Hype
Memory Based Video Scene Parsing	Sep 1, 2021	Scene ParsingSemantic Segmentation	—Unverified	0
BORM: Bayesian Object Relation Model for Indoor Scene Recognition	Aug 1, 2021	ObjectRelation	CodeCode Available	1
Global Aggregation then Local Distribution for Scene Parsing	Jul 28, 2021	Scene ParsingSegmentation	CodeCode Available	1
Resource Efficient Mountainous Skyline Extraction using Shallow Learning	Jul 23, 2021	geo-localizationScene Parsing	CodeCode Available	1
Window Detection In Facade Imagery: A Deep Learning Approach Using Mask R-CNN	Jul 21, 2021	Scene ParsingTransfer Learning	—Unverified	0
VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild	Jun 19, 2021	4kScene Parsing	—Unverified	0
Part-aware Panoptic Segmentation	Jun 11, 2021	Image SegmentationPanoptic Segmentation	CodeCode Available	1
Fast and Accurate Scene Parsing via Bi-direction Alignment Networks	May 25, 2021	Scene ParsingSemantic Segmentation	CodeCode Available	1
Aerial-PASS: Panoramic Annular Scene Segmentation in Drone Videos	May 15, 2021	Scene ParsingScene Segmentation	—Unverified	0
Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning	May 10, 2021	Arithmetic ReasoningGeometry Problem Solving	CodeCode Available	1

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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