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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 1–10 of 199 papers

Title	Date	Tasks	Status	Hype	Score
OneFormer: One Transformer to Rule Universal Image Segmentation	Nov 10, 2022	Instance SegmentationPanoptic Segmentation	CodeCode Available	3	5
Generalized Robot 3D Vision-Language Model with Fast Rendering and Pre-Training Vision-Language Alignment	Dec 1, 2023	Contrastive LearningFew-Shot Learning	CodeCode Available	3	5
Kimera: from SLAM to Spatial Perception with 3D Dynamic Scene Graphs	Jan 18, 2021	3D ReconstructionObject Localization	CodeCode Available	2	5
Robust Shape Fitting for 3D Scene Abstraction	Mar 15, 2024	Depth EstimationScene Parsing	CodeCode Available	2	5
OCNet: Object Context Network for Scene Parsing	Sep 4, 2018	ObjectRelation	CodeCode Available	2	5
Context-Aware Synthesis and Placement of Object Instances	Dec 6, 2018	ObjectScene Parsing	CodeCode Available	1	5
Boosting Night-time Scene Parsing with Learnable Frequency	Aug 30, 2022	Autonomous DrivingScene Parsing	CodeCode Available	1	5
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes	Jan 15, 2021	All-day Semantic SegmentationAutonomous Vehicles	CodeCode Available	1	5
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing	Mar 30, 2020	Scene ParsingSemantic Segmentation	CodeCode Available	1	5
BORM: Bayesian Object Relation Model for Indoor Scene Recognition	Aug 1, 2021	ObjectRelation	CodeCode Available	1	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