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 76–100 of 199 papers

TitleStatusHype
Non-parametric spatially constrained local prior for scene parsing on real-world data—0
Oceanic Eddy Identification Using an AI Scheme—0
OLAF: A Plug-and-Play Framework for Enhanced Multi-object Multi-part Scene Parsing—0
Window Detection In Facade Imagery: A Deep Learning Approach Using Mask R-CNN—0
3D Scene Parsing via Class-Wise Adaptation—0
A Comprehensive Survey on Video Scene Parsing:Advances, Challenges, and Prospects—0
Active Scene Understanding via Online Semantic Reconstruction—0
Adaptive Context Network for Scene Parsing—0
Adaptive Exponential Smoothing for Online Filtering of Pixel Prediction Maps—0
A Data-efficient Framework for Robotics Large-scale LiDAR Scene Parsing—0
Aerial-PASS: Panoramic Annular Scene Segmentation in Drone Videos—0
Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling—0
An Evolution of CNN Object Classifiers on Low-Resolution Images—0
A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors—0
Automatic Quantification of Settlement Damage using Deep Learning of Satellite Images—0
Beyond Forward Shortcuts: Fully Convolutional Master-Slave Networks (MSNets) with Backward Skip Connections for Semantic Segmentation—0
Boundary Corrected Multi-scale Fusion Network for Real-time Semantic Segmentation—0
CACFNet: Cross-Modal Attention Cascaded Fusion Network for RGB-T Urban Scene Parsing—0
CaseNet: Content-Adaptive Scale Interaction Networks for Scene Parsing—0
CaveSeg: Deep Semantic Segmentation and Scene Parsing for Autonomous Underwater Cave Exploration—0
Class Attention Network for Semantic Segmentation of Remote Sensing Images—0
Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks—0
Consensus Feature Network for Scene Parsing—0
Context Driven Scene Parsing with Attention to Rare Classes—0
Context-Integrated and Feature-Refined Network for Lightweight Object Parsing—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