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 176–199 of 199 papers

TitleStatusHype
Image Parsing with a Wide Range of Classes and Scene-Level Context—0
Improving Fully Convolution Network for Semantic Segmentation—0
Indoor Scene Parsing With Instance Segmentation, Semantic Labeling and Support Relationship Inference—0
Information Pursuit: A Bayesian Framework for Sequential Scene Parsing—0
Interaction via Bi-Directional Graph of Semantic Region Affinity for Scene Parsing—0
KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing—0
Large-scale Binary Quadratic Optimization Using Semidefinite Relaxation and Applications—0
Learning Dynamic Hierarchical Models for Anytime Scene Labeling—0
Learning to Exploit Stability for 3D Scene Parsing—0
LID 2020: The Learning from Imperfect Data Challenge Results—0
LIDAR-based Driving Path Generation Using Fully Convolutional Neural Networks—0
Local and Global Contextual Features Fusion for Pedestrian Intention Prediction—0
Location Augmentation for CNN—0
MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation—0
Memory Based Video Scene Parsing—0
MoE-SPNet: A Mixture-of-Experts Scene Parsing Network—0
MSP : Refine Boundary Segmentation via Multiscale Superpixel—0
Multi-layer Feature Aggregation for Deep Scene Parsing Models—0
Multi-Path Feedback Recurrent Neural Network for Scene Parsing—0
Multi-Scale Dual-Branch Fully Convolutional Network for Hand Parsing—0
Multi-Sem Fusion: Multimodal Semantic Fusion for 3D Object Detection—0
Night-time Scene Parsing with a Large Real Dataset—0
Nonparametric Scene Parsing with Adaptive Feature Relevance and Semantic Context—0
Non-parametric spatially constrained local prior for scene parsing on real-world data—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