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 26–50 of 199 papers

TitleStatusHype
Malleable 2.5D Convolution: Learning Receptive Fields along the Depth-axis for RGB-D Scene ParsingCode1
DPF: Learning Dense Prediction Fields with Weak SupervisionCode1
Global Aggregation then Local Distribution for Scene ParsingCode1
Part-aware Panoptic SegmentationCode1
Panoptic SegmentationCode1
VIBUS: Data-efficient 3D Scene Parsing with VIewpoint Bottleneck and Uncertainty-Spectrum ModelingCode1
Context-Aware Synthesis and Placement of Object InstancesCode1
3D-to-2D Distillation for Indoor Scene ParsingCode1
Edge-aware Guidance Fusion Network for RGB Thermal Scene ParsingCode1
EPSNet: Efficient Panoptic Segmentation Network with Cross-layer Attention FusionCode1
Pointly-supervised 3D Scene Parsing with Viewpoint BottleneckCode1
EGFNet: Edge-Aware Guidance Fusion Network for RGB–Thermal Urban Scene ParsingCode1
Editable Free-viewpoint Video Using a Layered Neural RepresentationCode1
Strip Pooling: Rethinking Spatial Pooling for Scene ParsingCode1
Fast and Accurate Scene Parsing via Bi-direction Alignment NetworksCode1
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road ScenesCode1
Boosting Night-time Scene Parsing with Learnable FrequencyCode1
Complete 3D Scene Parsing from an RGBD ImageCode0
PIG: Prompt Images Guidance for Night-Time Scene ParsingCode0
LF Tracy: A Unified Single-Pipeline Approach for Salient Object Detection in Light Field CamerasCode0
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
Improving Panoptic Segmentation for Nighttime or Low-Illumination Urban Driving ScenesCode0
Unlocking the Full Potential of Small Data with Diverse SupervisionCode0
DeLS-3D: Deep Localization and Segmentation with a 3D Semantic MapCode0
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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