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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 31–40 of 199 papers

Title	Date	Tasks	Status	Hype
DPF: Learning Dense Prediction Fields with Weak Supervision	Mar 29, 2023	Intrinsic Image DecompositionPrediction	CodeCode Available	1
EGFNet: Edge-Aware Guidance Fusion Network for RGB–Thermal Urban Scene Parsing	Aug 15, 2023	Scene ParsingSemantic Segmentation	CodeCode Available	1
3D-to-2D Distillation for Indoor Scene Parsing	Apr 6, 2021	Scene ParsingSemantic Parsing	CodeCode Available	1
Edge-aware Guidance Fusion Network for RGB Thermal Scene Parsing	Dec 9, 2021	Scene ParsingThermal Image Segmentation	CodeCode Available	1
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
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
Global Aggregation then Local Distribution for Scene Parsing	Jul 28, 2021	Scene ParsingSegmentation	CodeCode Available	1
Multi-Grained Contrast for Data-Efficient Unsupervised Representation Learning	Jul 2, 2024	Contrastive LearningInstance Segmentation	CodeCode Available	1
Traffic Scene Parsing through the TSP6K Dataset	Mar 6, 2023	Autonomous DrivingDecoder	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