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

Showing 121130 of 199 papers

TitleStatusHype
Context-Integrated and Feature-Refined Network for Lightweight Object Parsing0
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 Segmentation0
Active Scene Understanding via Online Semantic Reconstruction0
Oceanic Eddy Identification Using an AI Scheme0
Scene Parsing via Integrated Classification Model and Variance-Based RegularizationCode0
Adaptive Pyramid Context Network for Semantic SegmentationCode0
KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing0
Structured Knowledge Distillation for Semantic SegmentationCode0
Multi-Scale Dual-Branch Fully Convolutional Network for Hand Parsing0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PGDPNetTotal Accuracy84.7Unverified
2Inter-GPSTotal Accuracy27.3Unverified
#ModelMetricClaimedVerifiedStatus
1VCD No CoarsemIoU82.3Unverified