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 71–80 of 199 papers

TitleStatusHype
Few-Shot Fruit Segmentation via Transfer LearningCode0
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
PSANet: Point-wise Spatial Attention Network for Scene ParsingCode0
SalientDSO: Bringing Attention to Direct Sparse OdometryCode0
Exemplar-Based Face Parsing—0
Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks—0
Exploiting the Transferability of Deep Learning Systems Across Multi-modal Retinal Scans for Extracting Retinopathy Lesions—0
ESCNet: Gaze Target Detection With the Understanding of 3D Scenes—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