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
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
Radar Spectra-Language Model for Automotive Scene Parsing—0
Real-Time Panoptic Segmentation from Dense Detections—0
Recurrent Convolutional Neural Networks for Scene Parsing—0
Recyclable Semi-supervised Method Based on Multi-model Ensemble for Video Scene Parsing—0
Re:PolyWorld - A Graph Neural Network for Polygonal Scene Parsing—0
A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization—0
RoadFormer+: Delivering RGB-X Scene Parsing through Scale-Aware Information Decoupling and Advanced Heterogeneous Feature Fusion—0
RoadFormer: Duplex Transformer for RGB-Normal Semantic Road Scene Parsing—0
SAI3D: Segment Any Instance in 3D Scenes—0
Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering—0
Scale-Adaptive Convolutions for Scene Parsing—0
Scene Parsing by Integrating Function, Geometry and Appearance Models—0
Scene Parsing Through ADE20K Dataset—0
Scene Parsing via Dense Recurrent Neural Networks with Attentional Selection—0
Scene Parsing with Integration of Parametric and Non-parametric Models—0
Scene Parsing with Object Instances and Occlusion Ordering—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