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 126–150 of 199 papers

TitleStatusHype
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
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction—0
Cooperative Semantic Segmentation and Image Restoration in Adverse Environmental Conditions—0
Segmenting Ships in Satellite Imagery With Squeeze and Excitation U-Net—0
Segmenting Sky Pixels in Images—0
Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models—0
Semantic Segmentation on VSPW Dataset through Contrastive Loss and Multi-dataset Training Approach—0
Semi-supervised Video Semantic Segmentation Using Unreliable Pseudo Labels for PVUW2024—0
Single-View 3D Scene Parsing by Attributed Grammar—0
Soft Correspondences in Multimodal Scene Parsing—0
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images—0
Spatially Constrained Location Prior for Scene Parsing—0
SPGNet: Semantic Prediction Guidance for Scene Parsing—0
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More—0
TBN-ViT: Temporal Bilateral Network with Vision Transformer for Video Scene Parsing—0
Hardware implementation of timely reliable Bayesian decision-making using memristors—0
Treasure What You Have: Exploiting Similarity in Deep Neural Networks for Efficient Video Processing—0
Variational Context-Deformable ConvNets for Indoor Scene Parsing—0
Video Scene Parsing with Predictive Feature Learning—0
Visual Traffic Knowledge Graph Generation from Scene Images—0
VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild—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