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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 199 papers

TitleStatusHype
Unlocking the Full Potential of Small Data with Diverse SupervisionCode0
Differentiating Features for Scene Segmentation Based on Dedicated Attention Mechanisms—0
Adaptive Context Network for Scene Parsing—0
Cooperative Semantic Segmentation and Image Restoration in Adverse Environmental Conditions—0
Segmenting Ships in Satellite Imagery With Squeeze and Excitation U-Net—0
When Segmentation is Not Enough: Rectifying Visual-Volume Discordance Through Multisensor Depth-Refined Semantic Segmentation for Food Intake Tracking in Long-Term Care—0
Deep Multiphase Level Set for Scene Parsing—0
Dynamic Multi-Scale Filters for Semantic SegmentationCode0
What's There in the DarkCode0
What's There in the DarkCode0
Boosting Real-Time Driving Scene Parsing with Shared SemanticsCode0
Holistic++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense—0
SPGNet: Semantic Prediction Guidance for Scene Parsing—0
Consensus Feature Network for Scene Parsing—0
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse ConvolutionsCode0
Context-Integrated and Feature-Refined Network for Lightweight Object Parsing—0
SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV ApplicationsCode0
ELKPPNet: An Edge-aware Neural Network with Large Kernel Pyramid Pooling for Learning Discriminative Features in Semantic Segmentation—0
Active Scene Understanding via Online Semantic Reconstruction—0
Oceanic Eddy Identification Using an AI Scheme—0
Adaptive Pyramid Context Network for Semantic SegmentationCode0
Scene Parsing via Integrated Classification Model and Variance-Based RegularizationCode0
KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing—0
Structured Knowledge Distillation for Semantic SegmentationCode0
Multi-Scale Dual-Branch Fully Convolutional Network for Hand 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