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 26–50 of 199 papers

TitleStatusHype
TO-Scene: A Large-scale Dataset for Understanding 3D Tabletop ScenesCode1
VIBUS: Data-efficient 3D Scene Parsing with VIewpoint Bottleneck and Uncertainty-Spectrum ModelingCode1
RT-K-Net: Revisiting K-Net for Real-Time Panoptic SegmentationCode1
Context-Aware Synthesis and Placement of Object InstancesCode1
Panoptic SegmentationCode1
AttaNet: Attention-Augmented Network for Fast and Accurate Scene ParsingCode1
DPF: Learning Dense Prediction Fields with Weak SupervisionCode1
3D-to-2D Distillation for Indoor Scene ParsingCode1
EGFNet: Edge-Aware Guidance Fusion Network for RGB–Thermal Urban Scene ParsingCode1
Evidential fully convolutional network for semantic segmentationCode1
Malleable 2.5D Convolution: Learning Receptive Fields along the Depth-axis for RGB-D Scene ParsingCode1
GFF: Gated Fully Fusion for Semantic SegmentationCode1
Global Aggregation then Local Distribution for Scene ParsingCode1
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual RecognitionCode1
Editable Free-viewpoint Video Using a Layered Neural RepresentationCode1
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road ScenesCode1
Boosting Night-time Scene Parsing with Learnable FrequencyCode1
Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks—0
A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors—0
Adaptive Context Network for Scene Parsing—0
Class Attention Network for Semantic Segmentation of Remote Sensing Images—0
CaveSeg: Deep Semantic Segmentation and Scene Parsing for Autonomous Underwater Cave Exploration—0
An Evolution of CNN Object Classifiers on Low-Resolution Images—0
3D Scene Parsing via Class-Wise Adaptation—0
CaseNet: Content-Adaptive Scale Interaction Networks for Scene Parsing—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