Publication date
March 2021
DOIAbstract
This vector file (in zipped shapefile format) is the results of the Mask-CNN analysis. For additional information, please see https://zenodo.org/deposit/459378
This vector file (in zipped shapefile format) is the results of the Mask-CNN analysis. For additional information, please see https://zenodo.org/deposit/459378
Additional file 1: Figure S1. The workflow of patient selection. Figure S2. Learning and inference p...
Dataset used in SCT-CNN: A Spatio-Channel-Temporal Attention CNN for Grasp Stability Prediction Ple...
Mask R-CNN on NYUv2 This repository mainly contains information from the execution of the Mask R-CN...
This vector file (in GeoJSON format) is the results of the Mask-CNN analysis. For additional infor...
Black arrows indicate substantial changes in comparison to Fig 9 (prediction score threshold of 0.9)...
These data are part of a project to detect relict charcoal hearths (RCH) in landscape images using M...
a) Input data, b) segmentation result for fixed-stride training data, c) segmentation result for obj...
Effects of tiling method, training data set size and prediction threshold on the segmentation perfor...
These data are part of a project to detect relict charcoal hearths (RCH) in landscape images using M...
(a) Raw data from the input and (b) Mel spectrogram. (c) Predicted probabilities from the trained 1D...
These data are part of a project to detect relict charcoal hearths (RCH) in landscape images using M...
Please visit the GitHub repository below to use this pre-trained model to generate predictions for r...
Predictions for five images (rows) of the evaluation set using Faster R-CNN. The backbone for Faster...
Detection performance of the trained Mask R-CNN model on each validation subset VΓ.</p
Repository for the "REFINED CNN Framework for Survival Prediction with High-Dimensional Features" by...
Additional file 1: Figure S1. The workflow of patient selection. Figure S2. Learning and inference p...
Dataset used in SCT-CNN: A Spatio-Channel-Temporal Attention CNN for Grasp Stability Prediction Ple...
Mask R-CNN on NYUv2 This repository mainly contains information from the execution of the Mask R-CN...
This vector file (in GeoJSON format) is the results of the Mask-CNN analysis. For additional infor...
Black arrows indicate substantial changes in comparison to Fig 9 (prediction score threshold of 0.9)...
These data are part of a project to detect relict charcoal hearths (RCH) in landscape images using M...
a) Input data, b) segmentation result for fixed-stride training data, c) segmentation result for obj...
Effects of tiling method, training data set size and prediction threshold on the segmentation perfor...
These data are part of a project to detect relict charcoal hearths (RCH) in landscape images using M...
(a) Raw data from the input and (b) Mel spectrogram. (c) Predicted probabilities from the trained 1D...
These data are part of a project to detect relict charcoal hearths (RCH) in landscape images using M...
Please visit the GitHub repository below to use this pre-trained model to generate predictions for r...
Predictions for five images (rows) of the evaluation set using Faster R-CNN. The backbone for Faster...
Detection performance of the trained Mask R-CNN model on each validation subset VΓ.</p
Repository for the "REFINED CNN Framework for Survival Prediction with High-Dimensional Features" by...
Additional file 1: Figure S1. The workflow of patient selection. Figure S2. Learning and inference p...
Dataset used in SCT-CNN: A Spatio-Channel-Temporal Attention CNN for Grasp Stability Prediction Ple...
Mask R-CNN on NYUv2 This repository mainly contains information from the execution of the Mask R-CN...
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