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 151–199 of 199 papers

TitleStatusHype
Dermoscopic Image Analysis for ISIC Challenge 2018—0
Differentiating Features for Scene Segmentation Based on Dedicated Attention Mechanisms—0
Discriminative Map Retrieval Using View-Dependent Map Descriptor—0
ELKPPNet: An Edge-aware Neural Network with Large Kernel Pyramid Pooling for Learning Discriminative Features in Semantic Segmentation—0
ESCNet: Gaze Target Detection With the Understanding of 3D Scenes—0
Exploiting the Transferability of Deep Learning Systems Across Multi-modal Retinal Scans for Extracting Retinopathy Lesions—0
Exemplar-Based Face Parsing—0
Exploiting Spatial-Temporal Semantic Consistency for Video Scene Parsing—0
Feature boosting with efficient attention for scene parsing—0
Finite State Machines for Semantic Scene Parsing and Segmentation—0
FoveaNet: Perspective-aware Urban Scene Parsing—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
Fully Decoupled Residual ConvNet for Real-Time Railway Scene Parsing of UAV Aerial Images—0
Fully Exploiting Vision Foundation Model's Profound Prior Knowledge for Generalizable RGB-Depth Driving Scene Parsing—0
GEBNet: Graph-Enhancement Branch Network for RGB-T Scene Parsing—0
Geometric Scene Parsing with Hierarchical LSTM—0
Guaranteed Parameter Estimation for Discrete Energy Minimization—0
Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions—0
Holistic++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense—0
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
Oceanic Eddy Identification Using an AI Scheme—0
OLAF: A Plug-and-Play Framework for Enhanced Multi-object Multi-part Scene Parsing—0
Open Vocabulary Scene Parsing—0
ORDNet: Capturing Omni-Range Dependencies for Scene Parsing—0
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing—0
Perception Framework through Real-Time Semantic Segmentation and Scene Recognition on a Wearable System for the Visually Impaired—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