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 61–70 of 199 papers

TitleStatusHype
Boundary Corrected Multi-scale Fusion Network for Real-time Semantic Segmentation—0
Exemplar-Based Face Parsing—0
Aerial-PASS: Panoramic Annular Scene Segmentation in Drone Videos—0
Guaranteed Parameter Estimation for Discrete Energy Minimization—0
Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions—0
Deep Structured Scene Parsing by Learning with Image Descriptions—0
1st Place Winner of the 2024 Pixel-level Video Understanding in the Wild (CVPR'24 PVUW) Challenge in Video Panoptic Segmentation and Best Long Video Consistency of Video Semantic Segmentation—0
Deep Semantics-Aware Photo Adjustment—0
Deep Multiphase Level Set for Scene Parsing—0
Deep Hierarchical Parsing for Semantic Segmentation—0
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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