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 101–110 of 199 papers

TitleStatusHype
Cross-CBAM: A Lightweight network for Scene Segmentation—0
Cutting Edge: Soft Correspondences in Multimodal Scene Parsing—0
Deep and Wide Multiscale Recursive Networks for Robust Image Labeling—0
Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation—0
Deep Deconvolutional Networks for Scene Parsing—0
Deep Hierarchical Parsing for Semantic Segmentation—0
Deep Multiphase Level Set for Scene Parsing—0
Deep Semantics-Aware Photo Adjustment—0
Deep Structured Scene Parsing by Learning with Image Descriptions—0
DepthMatch: Semi-Supervised RGB-D Scene Parsing through Depth-Guided Regularization—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