SOTAVerified

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 31–40 of 199 papers

TitleStatusHype
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road ScenesCode1
Minimal Solvers for Single-View Lens-Distorted Camera Auto-CalibrationCode1
3D-to-2D Distillation for Indoor Scene ParsingCode1
DPF: Learning Dense Prediction Fields with Weak SupervisionCode1
Plane Geometry Diagram ParsingCode1
Multi-Grained Contrast for Data-Efficient Unsupervised Representation LearningCode1
Edge-aware Guidance Fusion Network for RGB Thermal Scene ParsingCode1
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual RecognitionCode1
Strip Pooling: Rethinking Spatial Pooling for Scene ParsingCode1
Traffic Scene Parsing through the TSP6K DatasetCode1
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All datasetsPGDP5KCityscapes test

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PGDPNetTotal Accuracy84.7—Unverified
2Inter-GPSTotal Accuracy27.3—Unverified
#ModelMetricClaimedVerifiedStatus
1VCD No CoarsemIoU82.3—Unverified