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 51–75 of 199 papers

TitleStatusHype
Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling—0
Fully Decoupled Residual ConvNet for Real-Time Railway Scene Parsing of UAV Aerial Images—0
ESCNet: Gaze Target Detection With the Understanding of 3D Scenes—0
Edge-aware Guidance Fusion Network for RGB Thermal Scene ParsingCode1
Mesh Convolution with Continuous Filters for 3D Surface ParsingCode1
MSP : Refine Boundary Segmentation via Multiscale Superpixel—0
TBN-ViT: Temporal Bilateral Network with Vision Transformer for Video Scene Parsing—0
Pointly-supervised 3D Scene Parsing with Viewpoint BottleneckCode1
Exploiting Spatial-Temporal Semantic Consistency for Video Scene Parsing—0
Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models—0
Memory Based Video Scene Parsing—0
BORM: Bayesian Object Relation Model for Indoor Scene RecognitionCode1
Global Aggregation then Local Distribution for Scene ParsingCode1
Resource Efficient Mountainous Skyline Extraction using Shallow LearningCode1
Window Detection In Facade Imagery: A Deep Learning Approach Using Mask R-CNN—0
VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild—0
Part-aware Panoptic SegmentationCode1
Fast and Accurate Scene Parsing via Bi-direction Alignment NetworksCode1
Aerial-PASS: Panoramic Annular Scene Segmentation in Drone Videos—0
Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic ReasoningCode1
Editable Free-viewpoint Video Using a Layered Neural RepresentationCode1
3D-to-2D Distillation for Indoor Scene ParsingCode1
Evidential fully convolutional network for semantic segmentationCode1
AttaNet: Attention-Augmented Network for Fast and Accurate Scene ParsingCode1
Perception Framework through Real-Time Semantic Segmentation and Scene Recognition on a Wearable System for the Visually Impaired—0
Show:102550
← PrevPage 3 of 8Next →
All datasetsPGDP5KCityscapes test

Benchmark Results

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