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 131–140 of 199 papers

TitleStatusHype
Structured Knowledge Distillation for Dense PredictionCode0
Toward Achieving Robust Low-Level and High-Level Scene ParsingCode0
Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation—0
Auto-Retoucher(ART) - A framework for Background Replacement and Image EditingCode0
Finite State Machines for Semantic Scene Parsing and Segmentation—0
3D Scene Parsing via Class-Wise Adaptation—0
Context-Aware Synthesis and Placement of Object InstancesCode1
Learning to Exploit Stability for 3D Scene Parsing—0
A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization—0
Scene Parsing via Dense Recurrent Neural Networks with Attentional Selection—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