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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 61–70 of 199 papers

Title	Date	Tasks	Status	Hype	Score
Auto-Retoucher(ART) - A framework for Background Replacement and Image Editing	Jan 13, 2019	Image MattingPosition	CodeCode Available	0	5
SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications	Jul 25, 2019	Objectobject-detection	CodeCode Available	0	5
Unlocking the Full Potential of Small Data with Diverse Supervision	Nov 29, 2019	Few-Shot LearningRepresentation Learning	CodeCode Available	0	5
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	5
Convolutional Neural Network Language Models	Nov 1, 2016	Document ClassificationGeneral Classification	CodeCode Available	0	5
Adaptive Pyramid Context Network for Semantic Segmentation	Jun 1, 2019	Scene ParsingSegmentation	CodeCode Available	0	5
LF Tracy: A Unified Single-Pipeline Approach for Salient Object Detection in Light Field Cameras	Jan 30, 2024	Data AugmentationDecoder	CodeCode Available	0	5
HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion	Apr 4, 2024	Scene ParsingSemantic Segmentation	CodeCode Available	0	5
Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image	Aug 7, 2018	3D Object DetectionMonocular 3D Object Detection	CodeCode Available	0	5
FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing	Mar 30, 2022	2D Semantic SegmentationObject	CodeCode Available	0	5

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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