Author:Shruti Jadon
Publications |
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EasyChair Preprint 4141 |
EasyChair Preprint 893 |
EasyChair Preprint 4058 |
EasyChair Preprint 1181 |
EasyChair Preprint 893 |
EasyChair Preprint 1181 |
EasyChair Preprint 1180 |
EasyChair Preprint 893 |
Keyphrases
binary cross, Binary Cross-entropy, Capsule Networks, Clustering, computer vision5, Convolutional Neural Networks, correlation maximized structural similarity, cosh dice loss, cross-entropy, Cross Entropy Loss, decision boundary, deep learning3, derived loss penalty term, Dice coefficient, dice loss function, disease detection, distance map, Dropout, entropy balanced cross entropy, entropy loss function, exponential logarithmic loss, few-shot learning, Focal Loss, focal tversky loss log, ground truth, Hausdorff distance, Healthcare, image segmentation, ImageNet, Kernels, log cosh dice, loss focal tversky loss, loss function, machine learning, map derived loss penalty, maximized structural similarity loss, medical image, nbf skull stripping, one-shot learning, Optimization, Plants disease identification, Routing-by-agreement, semantic segmentation, summary, tversky loss, video summarization, Videos, VSUMM.