SOTAVerified

Distance regression

Prediction of the distance between connected nodes in molecular/material/nanomaterial graphs.

Papers

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Showing 1–10 of 19 papers

TitleStatusHype
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine LearningCode1
PolarMask: Single Shot Instance Segmentation with Polar RepresentationCode1
DistFormer: Enhancing Local and Global Features for Monocular Per-Object Distance EstimationCode0
EOLO: Embedded Object Segmentation only Look OnceCode0
Distance transform regression for spatially-aware deep semantic segmentation—0
Fully-automatic segmentation of kidneys in clinical ultrasound images using a boundary distance regression network—0
Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision for Instance Segmentation—0
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data—0
Neural Network-based Acoustic Vehicle Counting—0
Pixel-wise Distance Regression for Glacier Calving Front Detection and Segmentation—0
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All datasetsCHILI-100KCHILI-3K

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MeanMSE 0.31—Unverified
#ModelMetricClaimedVerifiedStatus
1MeanMSE 0.27—Unverified