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
Approaches to biological species delimitation based on genetic and spatial dissimilarity—0
DistFormer: Enhancing Local and Global Features for Monocular Per-Object Distance EstimationCode0
Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More—0
A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation—0
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data—0
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions—0
Composite Localization for Human Pose Estimation—0
Pixel-wise Distance Regression for Glacier Calving Front Detection and Segmentation—0
Warpspeed Computation of Optimal Transport, Graph Distances, and Embedding Alignment—0
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All datasetsCHILI-100KCHILI-3K

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MeanMSE 0.31—Unverified