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Squeeze flow of micro-droplets: convolutional neural network with
  trainable and tunable refinement

Squeeze flow of micro-droplets: convolutional neural network with trainable and tunable refinement

16 November 2022
Aryan Mehboudi
S. Singhal
S. V. Sreenivasan
ArXivPDFHTML

Papers citing "Squeeze flow of micro-droplets: convolutional neural network with trainable and tunable refinement"

3 / 3 papers shown
Title
A Closer Look at AUROC and AUPRC under Class Imbalance
A Closer Look at AUROC and AUPRC under Class Imbalance
Matthew B. A. McDermott
Lasse Hyldig Hansen
Haoran Zhang
Giovanni Angelotti
Jack Gallifant
39
30
0
11 Jan 2024
Deep Image Deblurring: A Survey
Deep Image Deblurring: A Survey
Kaihao Zhang
Wenqi Ren
Wenhan Luo
Wei-Sheng Lai
B. Stenger
Ming-Hsuan Yang
Hongdong Li
93
237
0
26 Jan 2022
Re-labeling ImageNet: from Single to Multi-Labels, from Global to
  Localized Labels
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
Sangdoo Yun
Seong Joon Oh
Byeongho Heo
Dongyoon Han
Junsuk Choe
Sanghyuk Chun
414
142
0
13 Jan 2021
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