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

Showing 4150 of 199 papers

TitleStatusHype
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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Benchmark Results

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