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 51–75 of 199 papers

TitleStatusHype
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed dataCode0
Recurrent Scene Parsing with Perspective Understanding in the LoopCode0
Dynamic Multi-Scale Filters for Semantic SegmentationCode0
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse ConvolutionsCode0
SalientDSO: Bringing Attention to Direct Sparse OdometryCode0
Searching for Efficient Multi-Scale Architectures for Dense Image PredictionCode0
Toward Achieving Robust Low-Level and High-Level Scene ParsingCode0
DeLS-3D: Deep Localization and Segmentation with a 3D Semantic MapCode0
Complete 3D Scene Parsing from an RGBD ImageCode0
SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV ApplicationsCode0
Boosting Real-Time Driving Scene Parsing with Shared SemanticsCode0
Structured Knowledge Distillation for Semantic SegmentationCode0
PSANet: Point-wise Spatial Attention Network for Scene ParsingCode0
A Data-efficient Framework for Robotics Large-scale LiDAR Scene ParsingCode0
PIG: Prompt Images Guidance for Night-Time Scene ParsingCode0
Auto-Retoucher(ART) - A framework for Background Replacement and Image EditingCode0
LF Tracy: A Unified Single-Pipeline Approach for Salient Object Detection in Light Field CamerasCode0
Adaptive Pyramid Context Network for Semantic SegmentationCode0
Convolutional Neural Network Language ModelsCode0
Unlocking the Full Potential of Small Data with Diverse SupervisionCode0
Holistic 3D Scene Parsing and Reconstruction from a Single RGB ImageCode0
HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature FusionCode0
A Dilated Residual Hierarchically Fashioned Segmentation Framework for Extracting Gleason Tissues and Grading Prostate Cancer from Whole Slide ImagesCode0
Improving Panoptic Segmentation for Nighttime or Low-Illumination Urban Driving ScenesCode0
FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene ParsingCode0
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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