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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 11–20 of 199 papers

Title	Date	Tasks	Status	Hype
EGFNet: Edge-Aware Guidance Fusion Network for RGB–Thermal Urban Scene Parsing	Aug 15, 2023	Scene ParsingSemantic Segmentation	CodeCode Available	1
EPSNet: Efficient Panoptic Segmentation Network with Cross-layer Attention Fusion	Mar 23, 2020	GPUInstance Segmentation	CodeCode Available	1
Fast and Accurate Scene Parsing via Bi-direction Alignment Networks	May 25, 2021	Scene ParsingSemantic Segmentation	CodeCode Available	1
Edge-aware Guidance Fusion Network for RGB Thermal Scene Parsing	Dec 9, 2021	Scene ParsingThermal Image Segmentation	CodeCode Available	1
Boosting Night-time Scene Parsing with Learnable Frequency	Aug 30, 2022	Autonomous DrivingScene Parsing	CodeCode Available	1
Context-Aware Synthesis and Placement of Object Instances	Dec 6, 2018	ObjectScene Parsing	CodeCode Available	1
3D-to-2D Distillation for Indoor Scene Parsing	Apr 6, 2021	Scene ParsingSemantic Parsing	CodeCode Available	1
CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement	May 6, 2020	4kLand Cover Classification	CodeCode Available	1
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing	Mar 30, 2020	Scene ParsingSemantic Segmentation	CodeCode Available	1
AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing	Mar 10, 2021	Scene ParsingSegmentation	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