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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 181–190 of 199 papers

Title	Date	Tasks	Status	Hype
A Dilated Residual Hierarchically Fashioned Segmentation Framework for Extracting Gleason Tissues and Grading Prostate Cancer from Whole Slide Images	Nov 1, 2020	Scene ParsingSemantic Segmentation	CodeCode Available	0
Structured Knowledge Distillation for Dense Prediction	Mar 11, 2019	Depth EstimationGeneral Classification	CodeCode Available	0
Structured Knowledge Distillation for Semantic Segmentation	Jun 1, 2019	General Classificationimage-classification	CodeCode Available	0
Recurrent Scene Parsing with Perspective Understanding in the Loop	May 20, 2017	Depth EstimationMonocular Depth Estimation	CodeCode Available	0
Applying Unsupervised Semantic Segmentation to High-Resolution UAV Imagery for Enhanced Road Scene Parsing	Feb 5, 2024	Language ModellingRepresentation Learning	CodeCode Available	0
Convolutional Neural Network Language Models	Nov 1, 2016	Document ClassificationGeneral Classification	CodeCode Available	0
Dynamic Multi-Scale Filters for Semantic Segmentation	Oct 1, 2019	Scene ParsingSegmentation	CodeCode Available	0
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data	Apr 1, 2019	Scene ParsingScene Understanding	CodeCode Available	0
Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing	Oct 19, 2018	Scene ParsingStreet Scene Parsing	CodeCode Available	0
What's There in the Dark	Sep 24, 2019	Scene ParsingSemantic Segmentation	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